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A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis.

, , , and . CIBCB, page 1-8. IEEE, (2006)

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Using the Gene Ontology Hierarchy when Predicting Gene Function., and . UAI, page 419-427. AUAI Press, (2009)Using the Gene Ontology Hierarchy when Predicting Gene Function, and . CoRR, (2012)A neural network based modeling and validation approach for identifying gene regulatory networks., , and . Neurocomputing, 73 (13-15): 2419-2429 (2010)The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function., , , , , , , , , and 7 other author(s). Nucleic Acids Research, 38 (Web-Server-Issue): 214-220 (2010)Sharing and Specificity of Co-expression Networks across 35 Human Tissues., , , and . PLoS Computational Biology, (2015)Fast integration of heterogeneous data sources for predicting gene function with limited annotation., and . Bioinformatics, 26 (14): 1759-1765 (2010)Modeling trajectories of mental health: challenges and opportunities., , , , , , , , , and 1 other author(s). CoRR, (2016)A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis., , , and . CIBCB, page 1-8. IEEE, (2006)Unsupervised detection of genes of influence in lung cancer using biological networks., , , , and . Bioinformatics, 27 (22): 3166-3172 (2011)Deconvolving the contributions of cell-type heterogeneity on cortical gene expression., , , , , , , , , and 3 other author(s). PLoS Comput. Biol., (2020)