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.

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.

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.

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.

Heng, Benjamin, Bilgin, Ayse A., Guillemin, Gilles J., Lovejoy, David B., Tan, Vanessa X., Milioli, Heloisa H., Gluch, Laurence, Bustamante, Sonia, Sabaretnam, Tharani, Moscato, Pablo, Lim, Chai K.. BioMed Central; 2020. Differential kynurenine pathway metabolism in highly metastatic aggressive breast cancer subtypes: beyond IDO1-induced immunosuppression.

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

Haque, Mohammad Nazmul, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2019. A Multi-objective Meta-Analytic Method for Customer Churn Prediction.

Zhang, Bo, Zhang, Hongyu, Moscato, Pablo, Zhang, Aozhong. Institute of Electrical and Electronics Engineers (IEEE); 2020. Anomaly detection via mining numerical workflow relations from logs.

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.

Truong, Terry, Moscato, Pablo, Noman, Nasimul. Institute of Electrical and Electronics Engineers (IEEE); 2019. A computational approach for designing combination therapy in combating glioblastoma.

De Vries, Natalie J., Carlson, Jamie, Moscato, Pablo. Springer Cham; 2019. Clustering consumers and cluster-specific behavioural models.

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.

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

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.

de Vries, Natalie Janes, Olech, Łukasz P., Moscato, Pablo. Springer Cham; 2019. Introducing clustering with a focus in marketing and consumer analysis.

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.

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.

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.

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.

Moscato, Pablo, Cotta, Carlos. Springer; 2019. An accelerated introduction to memetic algorithms.

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.

Mathieson, Luke, De Vries, Natalie Jane, Moscato, Pablo. Springer Cham; 2019. Using network alignment to identify conserved consumer behaviour modelling constructs.

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.

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

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.

Moscato, Pablo, Sun, Haoyuan, Haque, Mohammad Nazmul. IEEE; 2020. Analytic continued fractions for regression: results on 352 datasets from the physical sciences.

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.

Rogers, Brendan, Noman, Nasimul, Chalup, Stephan, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2021. Evolutionary Hyperparameter Optimisation for Sentence Classification.

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

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.

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.

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

Vimieiro, Renato, Moscato, Pablo. Pergamon; 2012. Mining disjunctive minimal generators with TitanicOR.

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.

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

De Vries, Natalie J., Moscato, Pablo. Springer Cham; 2019. Consumer behaviour and marketing fundamentals for business data analytics.

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

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.

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.

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.

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

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

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.

Johnstone, Daniel M., Graham, Ross M., Trinder, Debbie, Riveros, Carlos, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth A.. IOS Press; 2012. Changes in brain transcripts related to Alzheimer's disease in a model of HFE hemochromatosis are not consistent with increased Alzheimer's disease risk.

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

Mate, Karen, Riveros, Carlos, Weidenhofer, Jude, Goldie, Belinda, Scott, Judith, Moscato, Pablo, Johnstone, Dan, Milward, Elizabeth. Institute for Innovation in Science and Mathematics Education; 2014. Strategies for enhancing communication between students, academics and researchers participating in large-scale undergraduate research projects.

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

Haque, Mohammad Nazmul, Mathieson, Luke, Moscato, Pablo. Association for Computing Machinery; 2019. A Memetic Algorithm Approach to Network Alignment: Mapping the Classification of Mental Disorders of DSM-IV with ICD-10.

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

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.

Sun, Haoyuan, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2019. A Memetic Algorithm for Symbolic Regression.

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.

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

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.

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

Moscato, Pablo, Mathieson, Luke. Springer Cham; 2019. Memetic algorithms for business analytics and data science: a brief survey.

Lobos, Claudio Sanhueza, De Vries, Natalie Jane, Inostroza-Ponta, Mario, Berretta, Regina, Moscato, Pablo. Springer Cham; 2019. Visualizing products and consumers: a gestalt theory inspired method.

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.

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.

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.

Mendes, Renata Sarmet Smiderle, Felice, Mário César San, Hokama, Pedro Henrique Del Bianco, Berretta, Regina, Moscato, Pablo. Sociedade Brasileira de Pesquisa Operacional (SOBRAPO); 2020. A Memetic Algorithm for the Facility Location Problem.

Mahata, Pritha, Costa, Wagner, Cotta, Carlos, Moscato, Pablo. Springer-Verlag; 2006. Hierarchical clustering, languages and cancer.

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.

Mathieson, Luke, Moscato, Pablo. Springer; 2019. An Introduction to Proximity Graphs.

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.

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

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.

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

Haque, Mohammad Nazmul, Moscato, Pablo. Springer Nature; 2019. From ensemble learning to meta-analytics: a review on trends in business applications.

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.

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

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

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.

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.

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

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.

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.

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, 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.

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

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

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

Mathieson, Luke, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2020. The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise.

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.

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.

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.

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

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.

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, De Vries, Natalie Jane. Springer Cham; 2019. Marketing meets data science: bridging the gap.

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.

Haque, Mohammad Nazmul, Moscato, Pablo. World Scientific Publishing; 2019. The cohesion-based communities of symptoms of the largest component of the DSM-IV network.

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, 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.

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

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.

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.