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Using the Gene Ontology Hierarchy when Predicting Gene Function.

, and . UAI, page 419-427. AUAI Press, (2009)

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Computational purification of tumor gene expression data., , and . BMC Bioinform., 12 (S-11): A9 (2011)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)GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data., , and . J. Comput. Biol., 13 (2): 200-214 (2006)GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data., , , , and . Pacific Symposium on Biocomputing, World Scientific, (2005)Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3., , and . Pacific Symposium on Biocomputing, page 52-63. World Scientific, (2008)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)Segmenting Hybrid Trajectories using Latent ODEs., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9569-9579. PMLR, (2021)The Future of Genome-Based Medicine., , , and . Pacific Symposium on Biocomputing, page 456-458. World Scientific Publishing, (2013)ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles., , , , , , and . BMC Bioinform., (2015)