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Statistical model-based testing to evaluate the recurrence of genomic aberrations., , , и . Bioinform., 28 (12): 115-120 (2012)ENIGMA: an enterotype-like unigram mixture model for microbial association analysis., , , и . BMC Genom., (2019)phyC: Clustering cancer evolutionary trees., , , , , и . PLoS Comput. Biol., (2017)Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning., , , , , , , , и . BIBM, стр. 253-258. IEEE Computer Society, (2010)High performance computing of a fusion gene detection pipeline on the K computer., , , , и . BIBM, стр. 1441-1447. IEEE Computer Society, (2015)Discovery of Exogenous Variables in Data with More Variables Than Observations., , , , , и . ICANN (1), том 6352 из Lecture Notes in Computer Science, стр. 67-76. Springer, (2010)A network of networks approach for modeling interconnected brain tissue-specific networks., , , , и . Bioinform., 35 (17): 3092-3101 (2019)Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks., , , , , , и . BMC Syst. Biol., (2015)Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks., , , и . J. Comput. Biol., 25 (2): 130-145 (2018)Estimating exogenous variables in data with more variables than observations., , , , , и . Neural Networks, 24 (8): 875-880 (2011)