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The human splicing code reveals new insights into the genetic determinants of disease, , , , , , , , , and 7 other author(s). Science, 347 (6218): 1254806+ (Jan 9, 2015)Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data., , and . RECOMB, volume 3909 of Lecture Notes in Computer Science, page 114-129. Springer, (2006)Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression., , and . ICONIP (1), volume 4232 of Lecture Notes in Computer Science, page 280-289. Springer, (2006)Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3., , and . Pacific Symposium on Biocomputing, page 52-63. World Scientific, (2008)GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data., , , , and . Pacific Symposium on Biocomputing, World Scientific, (2005)Fast integration of heterogeneous data sources for predicting gene function with limited annotation., and . Bioinform., 26 (14): 1759-1765 (2010)GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop., , , , , , , and . Bioinform., 26 (22): 2927-2928 (2010)GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data., , and . J. Comput. Biol., 13 (2): 200-214 (2006)Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse., , and . Neurocomputing, 71 (16-18): 3168-3175 (2008)Computational purification of tumor gene expression data., , and . BMC Bioinform., 12 (S-11): A9 (2011)