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Machine Learning in Bioinformatics., , and . Encyclopedia of Bioinformatics and Computational Biology (1), Elsevier, (2019)A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (3): 751-763 (2019)A metagenomics analysis of rumen microbiome., , , , , , and . BIBM, page 2077-2082. IEEE Computer Society, (2017)Multiscale Computing in Systems Medicine: a Brief Reflection., , , , , , , , , and . BIBM, page 2190-2195. IEEE Computer Society, (2018)An Integrative Approach for the Functional Analysis of Metagenomic Studies., , , , , , , , , and . ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 421-427. Springer, (2017)Microbial abundance analysis and phylogenetic adoption in functional metagenomics., , , and . CIBCB, page 1-8. IEEE, (2017)A New Phylogeny-Driven Random Forest-Based Classification Approach for Functional Metagenomics., , and . BIBM, page 32-37. IEEE, (2022)An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes., , , , , , , , , and . BIBM, page 1854-1860. IEEE Computer Society, (2018)Phylogeny-Aware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes., , , , , , , and . BIBM, page 1826-1831. IEEE Computer Society, (2018)PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification., , , and . BIBM, page 44-49. IEEE Computer Society, (2018)