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DynaBiome: interpretable unsupervised learning of gut microbiome dysbiosis via temporal deep models.

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Bibliographic Details
Title: DynaBiome: interpretable unsupervised learning of gut microbiome dysbiosis via temporal deep models.
Authors: Qureshi A; School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, 44500, Pakistan. aqureshi.dphd19seecs@seecs.edu.pk., Wahid A; School of Computer Science, University of Birmingham, Dubai, UAE. a.wahid@bham.ac.uk., Qazi S; School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, 44500, Pakistan., Shahzad MK; School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, 44500, Pakistan., Kiani HM; School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, 44500, Pakistan., Asif MDA; School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, 44500, Pakistan.
Source: BMC bioinformatics [BMC Bioinformatics] 2026 Feb 27; Vol. 27 (1). Date of Electronic Publication: 2026 Feb 27.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2105
DOI:10.1186/s12859-026-06400-8