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

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

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.

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.

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.

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

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.

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

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.

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.

Jensen, Cathy J., Stankovich, Jim, Field, Judith, Danoy, Patrick, Brown, Matthew A., The Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Lechner-Scott, Jeanette, Moscato, Pablo, Scott, Rodney J., Rubio, Justin P,, Butzkueven, Helmut, Van der Walt, Anneke, Bahlo, Melanie, Taylor, Bruce V,, van der Mei, Ingrid A. F., Foote, Simon J., Kilpatrick, Trevor J,, Johnson, Laura J., Wilkins, Ella. Public Library of Science; 2010. Multiple sclerosis susceptibility-associated SNPs do not influence disease severity measures in a cohort of Australian MS patients.

Milioli, Heloisa H., Tishchenko, Inna, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. BioMed Central; 2017. Basal-like breast cancer: molecular profiles, clinical features and survival outcomes.

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.

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.

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.

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.

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

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.

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.

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

Moscato, Pablo, Cotta, Carlos. Chapman & Hall / CRC Press; 2007. 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.

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.

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.

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

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

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

Inostroza-Ponta, Mario, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2011. QAPgrid: a two level QAP-based approach for large-scale data analysis and visualization.

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.

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

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

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.

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

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.

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.

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.

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.

Vimieiro, Renato, Moscato, Pablo. Elsevier; 2014. A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs.

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.

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.

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.

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

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

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.

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.

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

Rosso, Osvaldo A., Craig, Hugh, Moscato, Pablo. Elsevier; 2009. Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers.

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.

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

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.

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.

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.

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.

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.

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

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

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.

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.

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

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

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.

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.

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.

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

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

Vimieiro, Renato, Moscato, Pablo. Elsevier; 2014. Disclosed: an efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data.

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

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.

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.

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.

Berretta, Regina, Costa, Wagner, Moscato, Pablo. Humana Press; 2008. Combinatorial optimization models for finding genetic signatures from gene expression datasets.

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.

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.

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.

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.

Arefin, Ahmed Shamsul, Vimieiro, Renato, Riveros, Carlos, Craig, Hugh, Moscato, Pablo. Public Library of Science (PLoS); 2014. An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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.

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.

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.

Berretta, Regina, Cotta, Carlos, Moscato, Pablo. Kluwer Academic Publishers; 2003. Enhancing the performance of memetic algorithms by using a matching-based recombination algorithm.

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.

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.

Johnstone, Daniel, Milward, Elizabeth A., Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. Multivariate protein signatures of pre-clinical Alzheimer's disease in the Alzheimer's disease meuroimaging initiative (ADNI) plasma proteome dataset.

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

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.

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

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