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Integrating many co-splicing networks to reconstruct splicing regulatory modules.

, , , and . BMC Syst. Biol., 6 (S-1): S17 (2012)

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Discovering Causal and Temporal Relations in Biomedical Texts., , , and . AAAI Spring Symposium: Learning by Reading and Learning to Read, page 74-80. AAAI, (2009)Mining Closed Relational Graphs with Connectivity Constraints., , and . ICDE, page 357-358. IEEE Computer Society, (2005)Integrative missing value estimation for microarray data., , , and . BMC Bioinform., (2006)Network tuned multiple rank aggregation and applications to gene ranking., , , and . BMC Bioinform., 16 (S-1): S6 (2015)Integrating many co-splicing networks to reconstruct splicing regulatory modules., , , and . BMC Syst. Biol., 6 (S-1): S17 (2012)A graph-based approach to systematically reconstruct human transcriptional regulatory modules., , , , , and . ISMB/ECCB (Supplement of Bioinformatics), page 577-586. (2007)Determination of Local Statistical Significance of Patterns in Markov Sequences with Application to Promoter Element Identification., , , , and . J. Comput. Biol., 11 (1): 1-14 (2004)Identifying Dynamic Network Modules with Temporal and Spatial Constraints., , , , , and . Pacific Symposium on Biocomputing, page 203-214. (2009)Mining coherent dense subgraphs across massive biological networks for functional discovery., , , , and . ISMB (Supplement of Bioinformatics), page 213-221. (2005)An Integrative Network Approach to Map the Transcriptome to the Phenome., , , , and . RECOMB, volume 4955 of Lecture Notes in Computer Science, page 232-245. Springer, (2008)