metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies.

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Bibliographic Details
Title: metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies.
Authors: Abdelkader A; Bioinformatics Research Group, Center for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt., Ferdous NA; Data Science Institute, Hasselt University, Hasselt, Belgium., El-Hadidi M; Bioinformatics Research Group, Center for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt.; Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham Dubai, Dubai, United Arab Emirates., Burzykowski T; Data Science Institute, Hasselt University, Hasselt, Belgium.; Department of Biostatistics and Medical Informatics, Medical University of Bialystok, Bialystok, Poland.; International Drug Development Institute (IDDI), Louvain-la-Neuve, Belgium., Mysara M; Bioinformatics Research Group, Center for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt. mmaysara@nu.edu.eg.
Source: BMC bioinformatics [BMC Bioinformatics] 2025 Jul 21; Vol. 26 (1), pp. 189. Date of Electronic Publication: 2025 Jul 21.
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
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Description
ISSN:1471-2105
DOI:10.1186/s12859-025-06217-x