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Deep learning decodes the principles of differential gene expression.

, , , and . Nat. Mach. Intell., 2 (7): 376-386 (2020)

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Using the Gene Ontology Hierarchy when Predicting Gene Function, and . CoRR, (2012)Using the Gene Ontology Hierarchy when Predicting Gene Function., and . UAI, page 419-427. AUAI Press, (2009)The Genetic Landscape of a Cell, , , , , , , , , and 43 other author(s). Science, 327 (5964): 425--431 (Jan 22, 2010)The Genotype-Tissue Expression (GTEx) project, , , , , , , , , and 117 other author(s). Nat Genet, 45 (6): 580--585 (June 2013)A neural network based modeling and validation approach for identifying gene regulatory networks., , and . Neurocomputing, 73 (13-15): 2419-2429 (2010)Cross-Linked Unified Embedding for cross-modality representation learning., , , , and . NeurIPS, (2022)Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling., , , , and . Bioinform., 39 (Supplement-1): 504-512 (2023)Modeling trajectories of mental health: challenges and opportunities., , , , , , , , , and 1 other author(s). CoRR, (2016)Fast integration of heterogeneous data sources for predicting gene function with limited annotation., and . Bioinform., 26 (14): 1759-1765 (2010)A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis., , , and . CIBCB, page 1-8. IEEE, (2006)