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An Integrative Approach for the Functional Analysis of Metagenomic Studies., , , , , , , , , и . ICIC (2), том 10362 из Lecture Notes in Computer Science, стр. 421-427. Springer, (2017)A knowledge driven mutual information-based analytical framework for the identification of rumen metabolites., , , , и . BIBM, стр. 255-260. IEEE, (2019)MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs)., , , , и . Bioinform., 35 (12): 2150-2152 (2019)Improving the Inference of Co-Occurrence Networks in the Bovine Rumen Microbiome., , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (3): 858-867 (2020)Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches., , , , , , , и . BIBM, стр. 198-203. IEEE Computer Society, (2016)A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome., , , , , , , и . BIBM, стр. 1900-1906. IEEE, (2019)A network analysis of methane and feed conversion genes in the rumen microbial community., , , , , и . BIBM, стр. 1477-1484. IEEE Computer Society, (2016)Microbial co-presence and mutual-exclusion networks in the Bovine rumen microbiome., , , и . BIBM, стр. 114-119. IEEE Computer Society, (2017)A multilayer co-occurrence network reveals the systemic difference of diet-based rumen microbiome associated with methane yield phenotype., , , , и . BIBM, стр. 2855-2860. IEEE, (2020)Automated Object Tracking for Animal Behaviour Studies., , , , , , , , и . BIBM, стр. 1876-1883. IEEE, (2019)