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MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples.

, , , and . Bioinformatics, 34 (13): i32-i42 (2018)

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MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples., , , and . Bioinformatics, 34 (13): i32-i42 (2018)A Joint Classification Method to Integrate Scientific and Social Networks., , , and . ECIR, volume 7814 of Lecture Notes in Computer Science, page 122-133. Springer, (2013)Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages., and . EMNLP, page 113-124. Association for Computational Linguistics, (2017)KnowMAN: Weakly Supervised Multinomial Adversarial Networks., , , , and . EMNLP (1), page 9549-9557. Association for Computational Linguistics, (2021)ProtVec: A Continuous Distributed Representation of Biological Sequences., and . CoRR, (2015)Text Analysis and Automatic Triage of Posts in a Mental Health Forum., , and . CLPsych@HLT-NAACL, page 153-157. The Association for Computational Linguistics, (2016)Linguistic Resources and Topic Models for the Analysis of Persian Poems., and . CLfL@NAACL-HLT, page 23-31. The Association for Computer Linguistics, (2013)978-1-937284-47-3.UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages., , , and . CoRR, (2019)DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection., , , , and . Bioinformatics, 35 (14): 2498-2500 (2019)MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples., , , and . Bioinformatics, 35 (6): 1082 (2019)