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Bringing numerous methods for expression and promoter analysis to a public cloud computing service.

, , , , , , and . Bioinform., 34 (5): 884-886 (2018)

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Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thaliana., , , , , , , and . Bioinform., 26 (3): 355-362 (2010)A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series., , , , , and . J. Comput. Biol., 17 (3): 355-367 (2010)Bringing numerous methods for expression and promoter analysis to a public cloud computing service., , , , , , and . Bioinform., 34 (5): 884-886 (2018)A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series., , , , and . RECOMB, volume 5541 of Lecture Notes in Computer Science, page 201-216. Springer, (2009)Granger causality vs. dynamic Bayesian network inference: a comparative study., , and . BMC Bioinform., (2009)Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks., , , and . Bioinform., 28 (12): 233-241 (2012)R/BHC: fast Bayesian hierarchical clustering for microarray data., , , , , , , and . BMC Bioinform., (2009)Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series., , , , , , and . GCB, volume P-157 of LNI, page 133-142. GI, (2009)On reverse engineering of gene interaction networks using time course data with repeated measurements., , , and . Bioinform., 26 (18): 2305-2312 (2010)Wigwams: identifying gene modules co-regulated across multiple biological conditions., , , , , , , , , and 1 other author(s). Bioinform., 30 (7): 962-970 (2014)