Gabardo, Ademir C., Berretta, Regina, de Vries, Natalie J., Moscato, Pablo. Springer; 2017. Where does my brand end? An overlapping community approach.

Casanova, Ramon, Varma, Sudhir, Wahrheit, Judith, Klavins, Kristaps, Jonsson, Palmi V., Eiriksdottir, Gudny, Aspelund, Thor, Launer, Lenore J., Gudnason, Vilmundur, Quigley, Cristinia Legido, Thambisetty, Madhav, Simpson, Brittany, Kim, Min, An, Yang, Saldana, Santiago, Riveros, Carlos, Moscato, Pablo, Griswold, Michael, Sonntag, Denise. Elsevier; 2016. Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals.

Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. ACM Digital Library; 2013. A GPU-based method for computing eigenvector centrality of gene-expression networks.

Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. Australian Computer Society (ACS); 2015. On ranking nodes using kNN graphs, shortest-paths and GPUs.

Lancia, Giuseppe, Mathieson, Luke, Moscato, Pablo. Elsevier; 2017. Separating sets of strings by finding matching patterns is almost always hard.

Field, Judith, Browning, Sharon R., Lechner-Scott, Jeanette, Moscato, Pablo, Scott, Rodney J., Stewart, Graeme J., Kilpatrick, Trevor J., Foote, Simon J., Bahlo, Melanie, Butzkueven, Helmut, Wiley, James, Booth, David R., Johnson, Laura J., Taylor, Bruce V., Brown, Matthew A., Rubio, Justin P., Stankovich, Jim, Danoy, Patrick, Varney, Michael D,, Tait, Brian D., Kaushal, S. Gandhi, Charlesworth, Jac C., Heard, Robert N., The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene). Public Library of Science; 2010. A polymorphism in the HLA-DPB1 gene is associated with susceptibility to multiple sclerosis.

Haque, Mohammad Nazmul, Mathieson, Luke, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2017. A memetic algorithm for community detection by maximising the connected cohesion.

Mathieson, Luke, Mendes, Alexandre, Marsden, John, Pond, Jeffrey, Moscato, Pablo. Springer; 2017. Computer-aided breast cancer diagnosis with optimal feature sets: reduction rules and optimization techniques.

Puthiyedth, Nisha, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLoS); 2016. Identification of differentially expressed genes through integrated study of alzheimer's disease affected brain regions.

Ahammed, Farhan, Moscato, Pablo. Springer; 2011. Evolving L-systems as an intelligent design approach to find classes of difficult-to-solve traveling salesman problem instances.

Riveros, Carlos, Ujaldón, Manuel, Moscato, Pablo. Bentham Science Publishers; 2016. GPU acceleration of an entroy-based model to quantify epistatic interactions between SNPs.

Lill, Christina M., Liu, Tian, Blaschke, Paul, Winkelmann, Alexander, Gerdes, Lisa-Ann, Luessi, Felix, Fernadez, Oscar, Izquierdo, Guillermo, Antiguedad, Alfredo, Hoffjan, Sabine, Cournu-Rebeix, Isabelle, Gromoller, Silvana, Schjeide, Brit-Maren M., Faber, Hans, Liebsch, Maria, Meissner, Esther, Chanvillard, Coralie, Touze, Emmauel, Pico, Fernando, Corcia, Philippe, Bahlo, Melanie, Booth, David R., Broadley, Simon, Roehr, Johannes T., Brown, Matthew A., Browning, Brian L., Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Cox, Mathew B., Chapman, Caron, Clarke, Glynnis, Danoy, Patrick, Drysdale, Karen, Akkad, Denis A., Field, Judith, Foote, Simon J., Greer, Judith M., Griffiths, Lyn R., Hadler, Johanna, Jensen, Cathy J., Johnson, Laura J., Kermode, Allan G., Heard, Robert N., Kilpatrick, Trevor J., Damotte, Vincent, Lechner-Scott, Jeanette, Marriott, Mark, Mason, Deborah, Moscato, Pablo, Pender, Michael P., Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Slee, Mark, Stankovich, Jim, Alcina, Antonio, Stewart, Graeme J., Tajouri, Lofti, Taylor, Bruce V., Wiley, James, Wilkins, Ella J., Dörner, Thomas, Steinhagen-Thiessen, Elisabeth, Baeckman, Lars, Heekeren, Hauke R., Li, Shu-Chen, Ortiz, Miguel A., Lindenberger, Ulman, Chan, Andrew, Hartung, Hans-Peter, Aktas, Orhan, Lohse, Peter, Kümpfel, Tania, Kubisch, Christian, Epplen, Joerg T., Zettl, Uwe K., Fontaine, Bertrand, Arroyo, Rafa, Vandenbroeck, Koen, Matesanz, Fuencisla, Urcelay, Elena, Bertram, Lars, Zipp, Frauke, Lopez de Lapuente, Aitzkoa. BMJ Group; 2012. Closing the case of APOE in multiple sclerosis: no association with disease risk in over 29 000 subjects.

Garcia, Vinícius Jacques, França, Paulo Morelato, de Sousa Mendes, Alexandre, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2006. A parallel memetic algorithm applied to the total tardiness machine scheduling problem.

Mahmoudi, Nader, Docherty, Paul, Moscato, Pablo. Elsevier; 2018. Deep neural networks understand investors better.

França, Paulo M., Gupta, Jatinder N. D., Mendes, Alexandre S., Moscato, Pablo, Veltink, Klaas J.. Pergamon Press; 2005. Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups.

Haque, Mohammad Nazmul, Noman, Nasimul, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLoS); 2016. Heterogeneous ensemble combination search using genetic algorithm for class imbalanced data classification.

Tishchenko, Inna, Riveros, Carlos, Moscato, Pablo. Future Science; 2016. Alzheimer's disease patient groups derived from a multivariate analysis of cognitive test outcomes in the coalition against major diseases dataset.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. IEEE; 2012. Computing large-scale distance matrices on GPU.

Cotta, Carlos, Mathieson, Luke, Moscato, Pablo. Springer; 2018. Memetic algorithms.

Rizzi, Romeo, Mahata, Pritha, Mathieson, Luke, Moscato, Pablo. Public Library of Science; 2010. Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Springer; 2015. The MST-kNN with paracliques.

Field, Judith, Shahijanian, Fernando, Butzkueven, Helmut, Booth, David, Baxter, Alan, Kermode, Allan G., Taylor, Bruce, Booth, David R., Mason, Deborah, Stewart, Graeme J., Butzkueven, Helmut, Charlesworth, Jac, Schibeci, Stephen, Wiley, James, Lechner-Scott, Jeannette, Field, Judith, Tajouri, Lotti, Griffiths, Lyn, Slee, Mark, Brown, Matthew A., Moscato, Pablo, Scott, Rodney J., Broadley, Simon, Johnson, Laura, Vucic, Steve, Kilpatrick, Trevor, Carroll, William M., Gresle, Melissa, Laverick, Louise, Parnell, Grant, Stewart, Graeme, McKay, Fiona, Kilpatrick, Trevor. Public Library of Science (PLOS); 2015. The MS risk allele of CD40 is associated with reduced cell-membrane bound expression in antigen presenting cells: implications for gene function.

Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Australian Computer Society published in association with the ACM Digital Library; 2005. Integer programming models and algorithms for molecular classification of cancer from microarray data.

Warren, Chloe, Inostroza-Ponta, Mario, Moscato, Pablo. Springer; 2017. Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures.

Shahijanian, Fernando, Parnell, Grant P., Baxter, Alan, Kermode, Allan, Carroll, William, Butzkueven, Helmut, Booth, David, Stewart, Graeme, Vucic, Steve, Wiley, James, Field, Judith, Tajouri, Lotti, McKay, Fiona C., Griffiths, Lyn, Barnett, Michael, Scott, Rodney, Lechner-Scott, Jeannette, Moscato, Pablo, Broadley, Simon, Slee, Mark, Kilpatrick, Trevor, Taylor, Bruce, Charlesworth, Jac, Gatt, Prudence N., Brown, Matt, Mason, Deborah, Stewart, Graeme J., Booth, David R., Shojoei, Maryam, O'Connor, Kate S., Schibeci, Stephen D., Brilot, Fabienne, Liddle, Christopher, Batten, Marcel. Oxford University Press; 2014. The CYP27B1 variant associated with an increased risk of autoimmune disease is underexpressed in tolerizing dendritic cells.

Rosso, Osvaldo A., Mendes, Alexandre, Berretta, Regina, Rostas, John A., Hunter, Mick, Moscato, Pablo. Elsevier; 2009. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach for electrode selection.

Inostroza-Ponta, Mario, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2017. World's best universities and personalized rankings.

Zaher, Amer Abu, Berretta, Regina, Arefin, Ahmed Shamsul, Moscato, Pablo. Australian Computer Society (ACS); 2015. FSMEC: a feature selection method based on the minimum spanning tree and evolutionary computation.

Gandhi, Kaushal S., McKay, Fiona C., Danoy, Patrick, Stewart, Graeme J., Broadley, Simon, Moscato, Pablo, Lechner-Scott, Jeannette, Scott, Rodney J., Booth, David R., ANZgene Multiple Sclerosis Genetics Consortium, Cox, Mathew, Riveros, Carlos, Armstrong, Nicola, Heard, Robert N., Vucic, Steve, Williams, David W., Stankovich, Jim, Brown, Matthhew. Oxford University Press; 2010. The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis.

Riveros, Carlos, Ujaldón, Manuel, Moscato, Pablo. Universidad de Granada; 2014. Entropy-based high performance computation of Boolean SNP-SNP interactions using GPUs.

Ma, Gerry Z. M., Stankovich, Jim, Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Danoy, Patrick, Foote, Simon J., Griffiths, Lyn, Heard, Robert N., Kermode, Allan G., Lechner-Scott, Jeannette, Moscato, Pablo, Kilpatrick, Trevor J., Perreau, Victoria M., Scott, Rodney J., Slee, Mark, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Stankovich, Jim, Binder, Michele D., Field, Judith, Bahlo, Melanie, Booth, David R., Broadley, Simon, Brown, Matthew A., Browning, Brian L.. Public Library of Science; 2011. Polymorphisms in the receptor tyrosine kinase MERTK gene are associated with multiple sclerosis susceptibility.

Moslemi Naeni, Leila, Berretta, Regina, Moscato, Pablo. Springer; 2015. MA-Net: a reliable memetic algorithm for community detection by modularity optimization.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. IEEE; 2012. kNN-MST-Agglomerative: a fast and scalable graph-based data clustering approach on GPU.

Noman, Nasimul, Monjo, Taku, Moscato, Pablo, Iba, Hitoshi. Public Library of Science (PLoS); 2015. Evolving robust gene regulatory networks.

de Vries, Natalie Jane, Carlson, Jamie, Moscato, Pablo. Public Library of Science (PLoS); 2014. A data-driven approach to reverse engineering customer engagement models: towards functional constructs.

Tishchenko, Inna, Milioli, Heloisa Helena, Riveros, Carlos, Moscato, Pablo. Public Library of Science; 2016. Extensive transcriptomic and genomic analysis provides new insights about luminal breast cancers.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs.

Inostroza-Ponta, Mario, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2018. World's best universities and personalized rankings.

Lachiondo, José A., Ujaldón, Manuel, Berretta, Regina, Moscato, Pablo. Taylor & Francis; 2016. Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration.

Mellor, Drew, Prieto-Rodriguez, Elena, Mathieson, Luke, Moscato, Pablo. Public Library of Science; 2010. A kernelisation approach for multiple d-hitting set and its application in optimal multi-drug therapeutic combinations.

Atkinson, Rebbekah, Rosso, Osvaldo A., Figliola, Alejandra, Serrano, Eduardo, Moscato, Pablo, Hunter, Mick, Rostas, John A. P.. Nova Science Publishers; 2010. Use of the domestic chicken to investigate mechanisms of brain maturation.

Lucas, Benjamin, Arefin, Ahmed Shamsul, de Vries, Natalie Jane, Berretta, Regina, Carlson, Jamie, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Engagement in motion: exploring short term dynamics in page-level social media metrics.

Arefin, Ahmed Shamsul, Mathieson, Luke, Johnstone, Daniel, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression.

Berretta, Regina, Cotta, Carlos, Moscato, Pablo. Springer; 2012. Memetic algorithms in bioinformatics.

Jesús Martín Requena, Manuel, Moscato, Pablo, Ujaldóna, Manuel. Elsevier; 2014. Efficient data partitioning for the GPU computation of moment functions.

Ikin, Aaron, Riveros, Carlos, Moscato, Pablo, Mendes, Alexandre. Oxford University Press; 2010. The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis.

Lachiondo, José A., Ujaldón, Manuel, Berretta, Regina, Moscato, Pablo. CRC Press; 2014. Quantifying the regeneration of bone tissue in biomedical images via Legendre moments.

Ravetti, Martin Gómez, Moscato, Pablo. Public Library of Science; 2008. Identification of a 5-protein biomarker molecular signature for predicting Alzheimer's disease.

de Vries, Natalie Jane, Reis, Rodrigo, Moscato, Pablo. Public Library of Science (PLoS); 2015. Clustering consumers based on trust, confidence and giving behaviour: data-driven model building for charitable involvement in the Australian not-for-profit sector.

Abu Zaher, Amer, Berretta, Regina, Noman, Nasimul, Moscato, Pablo. Wiley; 2018. An adaptive memetic algorithm for feature selection using proxity graphs.

Sanhueza, Claudio, Jiménez, Francia, Berretta, Regina, Moscato, Pablo. Association for Computing Machinery; 2018. mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations.

Rocha de Paula, Mateus, Berretta, Regina, Moscato, Pablo. Springer; 2016. A fast meta-heuristic approach for the (α, ß) - k-feature set problem.

de Vries, Natalie Jane, Arefin, Ahmed Shamsul, Mathieson, Luke, Lucas, Benjamin, Moscato, Pablo. Springer; 2016. Relative neighborhood graphs uncover the dynamics of social media engagement.

Fitzsimmons, Jake, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2018. Symbolic regression modeling of drug responses.

Holliday, Elizabeth G., Maguire, Jane M., Malik, Rainer, McEvoy, Mark, Biros, Erik, Lewis, Martin D., Lincz, Lisa F., Peel, Roseanne, Oldmeadow, Christopher, Smith, Wayne, Moscato, Pablo, Barlera, Simona, Evans, Tiffany-Jane, Bevan, Steve, Bis, Joshua C., Boerwinkle, Eric, Boncoraglio, Giorgio B., Brott, Thomas G., Scott, Rodney J., Levi, Christopher, Attia, John, Koblar, Simon A., Jannes, Jim, Sturm, Jonathan W., Hankey, Graeme J., Baker, Ross, Golledge, Jonathan, Parsons, Mark W.. Nature Publishing Group; 2012. Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.

Rocha de Paula, Mateus, Gómez Ravetti, Martín, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2011. Differences in abundances of cell-signalling proteins in blood reveal novel biomarkers for early detection of clinical Alzheimer's Disease.

Clark, Michael B., Johnston, Rebecca L., Inostroza-Ponta, Mario, Fox, Archa H., Fortini, Ellen, Moscato, Pablo, Dinger, Marcel E., Mattick, John S.. Cold Spring Harbor Laboratory Press; 2012. Genome-wide analysis of long noncoding RNA stability.

Montera, Luciana, do Carmo Nicoletti, Maria, da Silva, Flavio Henrique, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2008. An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments.

Berretta, Regina, Moscato, Pablo. Public Library of Science; 2010. Cancer biomarker discovery: the entropic hallmark.

de Vries, Natalie Jane, Arefin, Ahmed Shamsul, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Gauging heterogeneity in online consumer behaviour data: a proximity graph approach.

Moslemi Naeni, Leila, de Vries, Natalie, Reis, Rodrigo, Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Identifying communities of trust and confidence in the charity and not-for-profit sector: a memetic algorithm approach.

Binder, Michele D., Fox, Andrew D., Laverick, Louise, Foo, Grace, Fabis-Pedrini, Marzena J., Spelman, Timothy, Jordan, Margaret A., Baxter, Alan G., Foote, Simon, , , , Merlo, Daniel, , , , , , , , , , Lechner-Scott, Jeannette, Johnson, Laura J., , , , , , Moscato, Pablo, Scott, Rodney, , , , Giuffrida, Sarah E., , Calvert, Rainer, Akkermann, Rainer, Ma, Gerry Z. M., Perera, Ashwyn A., Gresle, Melissa M.. Public Library of Science (PLoS); 2016. Common and low frequency variants in MERTK are independently associated with multiple sclerosis susceptibility with discordant association dependent upon HLA-DRB1*15:01 status.

Mendes, Alexandre, Scott, Rodney J., Moscato, Pablo. Humana Press; 2008. Microarrays: identifying molecular portraits in prostrate tumors with different Gleason patterns.

Milward, Elizabeth A., Moscato, Pablo, Riveros, Carlos, Johnstone, Daniel M.. IOS Press; 2014. Beyond statistics: a new combinatorial approach to identifying biomarker panels for the early detection and diagnosis of Alzheimer's Disease.

Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Australian Computer Society; 2007. Selection of discriminative genes in microarray experiments using mathematical programming.

Harris, Matthew, Berretta, Regina, Inostroza-Ponta, Mario, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2015. A memetic algorithm for the quadratic assignment problem with parallel local search.

Milioli, Heloisa H., Vimieiro, Renato, Tishchenko, Inna, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. BioMed Central; 2016. Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.

Ritchie, Matthew E., Ruijie, Liu, Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Carvalho, Benilton S., Booth, David R., Clarke, Glynnis, Cox, Mathew B., Csurhes, Peter A., Danoy, Patrick, Dickinson, Joanne L., Drysdale, Karen, Field, Judith, Greer, Judith M., Griffiths, Lyn R., Irizarry, Rafael A., Guru, Preethi, Hadler, Johanna, Hoban, Ella, McMorran, Brendan J., Jensen, Cathy J., Johnson, Laura J., McCallum, Ruth, Merriman, Marilyn, Merriman, Tony, Polanowski, Andrea, Bahlo, Melanie, Pryce, Karena, Tajouri, Lotfi, Whittock, Lucy, Wilkins, Ella J., Browning, Brian L., Browning, Sharon R., Perera, Devindri, Butzkueven, Helmut, Carroll, William M., Chapman, Caron, Booth, David R., Kermode, Allan G., Marriott, Mark, Mason, Deborah, Heard, Robert N., Pender, Michael P., Slee, Mark, Tubridy, Niall, Willoughby, Ernest, Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R.. BioMed Central; 2011. Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips.

Haque, Mohammad Nazmul, Noman, M. Nasimul, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2016. Optimising weights for heterogeneous ensemble of classifiers with differential evolution.

Bahlo, Melanie, Booth, David R., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Clarke, Glynnis, Cox, Mathew B., Csurhes, Peter A., Danoy, Patrick, Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R., Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M.. Nature Publishing Group; 2009. Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Springer Berlin Heidelberg; 2012. kNN-Borůvka-GPU: a fast and scalable MST construction from <i>k</i>NN graphs on GPU.

Ravetti, Martin Gómez, Berretta, Regina, Moscato, Pablo. Springer; 2009. Novel biomarkers for prostate cancer revealed by (α,β)-k-feature sets.

Hourani, Mou'Ath, Mendes, Alexandre, Berretta, Regina, Moscato, Pablo. American Institute of Physics; 2007. Genetic biomarkers for brain hemisphere differentiation in Parkinson's Disease.

Naeni, Leila M., Craig, Hugh, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS); 2016. A novel clustering methodology based on modularity optimisation for detecting authorship affinities in Shakespearean era plays.

Moscato, Pablo, Berretta, Regina, Mendes, Alexandre. Metaheuristics International Conference; 2005. A new Memetic Algorithm for ordering datasets: applications in microarray analysis.

Riveros, Carlos, Mellor, Drew, Vucic, Stephen, Stewart, Graeme J., Williams, David W., Scott, Rodney J., Lechner-Scott, Jeannette, Booth, David R., Moscato, Pablo, ANZgene Multiple Sclerosis Genetics Consortium, Gandhi, Kaushal S., McKay, Fiona C., Cox, Mathew B., Berretta, Regina, Vaezpour, S. Yahya, Inostroza-Ponta, Mario, Broadley, Simon A., Heard, Robert N.. Public Library of Science; 2010. A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis.

Cheng, Yu-Ching, Anderson, Christopher D., Barlera, Simona, Biffi, Alessandro, Bookman, Ebony, Brott, Thomas G., Brown, Robert D., Chen, Fang, Chen, Wei-Min, Ciusani, Emilio, Cole, John W., Cortellini, Lynelle, Bione, Silvia, Danesh, John, Doheny, Kimberley, Ferrucci, Luigi, Franzosi, Maria Grazia, Frossard, Philippe, Furie, Karen L., Golledge, Jonathan, Hankey, Graeme J., Hernandez, Dena, Holliday, Elizabeth G., Keene, Keith, Hsu, Fang-Chi, Jannes, Jim, Kamal, Ayeesha, Khan, Muhammad Saleem, Kittner, Steven J., Koblar, Simon A., Lewis, Martin, Lincz, Lisa, Lisa, Antonella, Matarin, Mar, Maguire, Jane M., Moscato, Pablo, Mychaleckyj, Josyf C., Parati, Eugenio A., Parolo, Silvia, Pugh, Elizabeth, Rost, Natalia S., Schallert, Michael, Schmidt, Helena, Scott, Rodney J., Sturm, Jonathan W., Nalls, Michael, Yadav, Sunaina, Zaidi, Moazzam, Boncoraglio, Giorgio B., Levi, Christopher Royce, Meschia, James F., Rosand, Jonathan, Sale, Michele, Saleheen, Danish, Schmidt, Reinhold, Sharma, Pankaj, Rasheed, Asif, Worrall, Bradford, Mitchell, Branxton D., Zeginigg, Marion, Attia, John, Baker, Ross. Lippincott Williams & Wilkins; 2012. Are myocardial infarction-associated single-nucleotide polymorphisms associated with ischemic stroke?.

Johnstone, Daniel, Graham, Ross M., Trinder, Debbie, Delima, Roheeth D., Riveros, Carlos, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth. Elsevier; 2012. Brain transcriptome perturbations in the Hfe^-/- mouse model of genetic iron loading.

Moscato, Pablo, Mathieson, Luke, Mendes, Alexandre, Berretta, Regina. Australian Computer Society published in association with the ACM Digital Library; 2005. The electronic primaries: predicting the U.S. presidency using feature selection with safe data deduction.

Yan, Jun, Liu, Jia, Mason, Deborah, Griffiths, Lyn, Moscato, Pablo, Slee, Mark, Taylor, Bruce, Wiley, James, Field, Judith, Butzkueven, Helmut, Kilpatrick, Trevor J., Csurhes, Peter A., Lin, Clement Yihao, Pender, Michael P., McCombe, Pamela A., Greer, Judith M., Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZGene),, Scott, Rodney J., Lechner-Scott, Jeannette, Brown, Matthew A., Booth, David R., Stewart, Graeme J., Broadley, Simon. MDPIAG; 2012. Interleukin-6 gene promoter-572 C allele may play a role in rate of disease progression in multiple sclerosis.

Moscato, Pablo, Berretta, Regina, Hourani, Mou'Ath, Mendes, Alexandre, Cotta, Carlos. Springer Verlag; 2005. Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches.

Marsden, John, Budden, David, Craig, Hugh, Moscato, Pablo. Public Library of Science; 2013. Language individuation and marker words: Shakespeare and his Maxwell's demon.

Arefin, Ahmed Shamsul, Inostroza-Ponta, Mario, Mathieson, Luke, Berretta, Regina, Moscato, Pablo. Springer; 2011. Clustering nodes in large-scale biological networks using external memory algorithms.

Fenn, Shannon, Moscato, Pablo. MIT Press; 2017. Target curricula via selection of minimum feature sets: a case study in Boolean networks.

Cotta, Carlos, Gallardo, Jose E., Mathieson, Luke, Moscato, Pablo. John Wiley & Sons; 2016. Memetic algorithms: a contemporary introduction.

Inostroza-Ponta, Mario, Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Springer; 2006. An automatic graph layout procedure to visualize correlated data.

Puthiyedth, Nisha, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS) One; 2015. A new combinatorial optimization approach for integrated feature selection using different datasets: a prostate cancer transcriptomic study.

Rosso, Osvaldo A., Mendes, Alexandre, Rostas, John A., Hunter, Mick, Moscato, Pablo. Elsevier; 2009. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity.

Cortes, Adrian, Field, Judith, Glazov, Evgeny A., Hadler, Johanna, ANZgene Consortium,, Stankovich, Jim, Brown, Matthew A., Lechner-Scott, Jeannette, Moscato, Pablo. Oxford University Press; 2013. Resequencing and fine-mapping of the chromosome 12q13-14 locus associated with multiple sclerosis refines the number of implicated genes.

Johnstone, Daniel M., Riveros, Carlos, Heidari, Moones, Graham, Ross M., Trinder, Debbie, Berretta, Regina, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth A.. MDPI AG; 2013. Evaluation of different normalization and analysis procedures for Illumina gene expression microarray data involving small changes.

Wang, Joanne H., Pappas, Derek, Hauser, Stephen L., Baranzini, Sergio E., Oksenberg, Jorge R., Bahlo, Melanie, Booth, David R., Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R., Kilpatrick, Trevor J., De Jager, Philip L., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Danoy, Patrick, Pelletier, Daniel, Butzkueven, Helmut, Slee, Mark, Greer, Judith, Kermode, Allan, Carroll, William, de Bakker, Paul I., Kappos, Ludwig, Polman, Chris H., Chibnik, Lori B., Hafler, David A., Matthews, Paul M.. BioMed Central; 2011. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data.

Milioli, Heloisa Helena, Vimieiro, Renato, Riveros, Carlos, Tishchenko, Inna, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS); 2015. The discovery of novel biomarkers improves breast cancer intrinsic subtype prediction and reconciles the labels in the METABRIC data set.

Filiou, Michaela D., Arefin, Ahmed Shamsul, Moscato, Pablo, Graeber, Manuel B.. Springer; 2014. 'Neuroinflammation' differs categorically from inflammation: transcriptomes of Alzheimer's disease, Parkinson's disease, schizophrenia and inflammatory diseases compared.

Oldmeadow, Christopher, Riveros, Carlos, Klein, Ronald, Attia, John, Holliday, Elizabeth G., Scott, Rodney, Moscato, Pablo, Wang, Jie Jin, Mitchell, Paul, Buitendijk, Gabrielle H. S., Vingerling, Johannes R., Klaver, Caroline C. W.. John Wiley & Sons; 2011. Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods.

Sanhueza, Claudio, Jiménez, Francia, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2017. PasMoQAP: a parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem.

Hourani, Mou'Ath, Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Humana Press; 2008. Genetic signatures for a rodent model of Parkinson's disease using combinatorial optimization methods.

Patsopoulos, Nikolaos A., de Bakker, Paul I. W., Kappos, Ludwig, Miller, David, Montalbán, Javier, Polman, Chris H., Freedman, Mark S., Hartung, Hans-Peter, Arnason, Barry G. W., Comi, Giancarlo, Cook, Stuart, Filippi, Massimo, Esposito, Federica, Goodin, Douglas S., Jeffery, Douglas, O'Connor, Paul, Ebers, George C., Langdon, Dawn, Reder, Anthony T., Traboulsee, Anthony, Zipp, Frauke, Schimrigk, Sebastian, Hillert, Jan, Reischl, Joachim, Bahlo, Melanie, Booth, David R., Broadley, Simon, Brown, Matthew A., Browning, Brian L., Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Chapman, Caron, Foote, Simon J., Lehr, Stephan, Griffiths, Lyn, Kermode, Allan G., Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Marriott, Mark, Mason, Deborah, Moscato, Pablo, Heard, Robert N., Pender, Michael P., Perreau, Victoria M., Bauer, David, Perera, Devindri, Rubio, Justin P., Scott, Rodney J., Slee, Mark, Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Tubridy, Niall, Willoughby, Ernest, Wiley, James, Heubach, Jürgen, Matthews, Paul, Boneschi, Filippo M., Compston, Alastair, Haines, Jonathan, Hauser, Stephen L., McCauley, Jacob, Ivinson, Adrian, Oksenberg, Jorge R., Pericak-Vance, Margaret, Sawcer, Stephen J., Sandbrink, Rupert, De Jager, Philip L., Hafler, David A., Pohl, Christoph, Edan, Gilles. John Wiley & Sons; 2011. Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci.

Capp, Anne, Inostroza-Ponta, Mario, Atkinson, Chris, North, John, Poulsen, Michael, Spry, Nigel A., Tai, Keen-Hun, Wynne, Chris, Duchesne, Gillian, Steigler, Allison, Denham, James W., Bill, Dana, Moscato, Pablo, Lai, Chi, Christie, David, Lamb, David, Turner, Sandra, Joseph, David, Matthews, John. Elsevier; 2009. Is there more than one proctitis syndrome? A revisitation using data from the TROG 96.01 trial.

Galvão, Lauro Cesar, Nunes, Luiz Fernando, Lopes, Heitor Silvério, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2012. A new greedy heuristic for 3DHP protein struture prediction with side chain.

Ravetti, Martin Gomez, Rosso, Osvaldo A., Berretta, Regina, Moscato, Pablo. Public Library of Science; 2010. Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease.