Author

Minghua Tang

Colorado State UniversityORCID 0009-0003-7645-8069Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Audrey E. HendricksiD· 2 shared Nancy F. KrebsiD· 2 shared Adelle PriceiD· 1 shared Arjun KrishnaniD· 1 shared Chang LiuiD· 1 shared Charles E. RobertsoniD· 1 shared Daniel Frank· 1 shared Daniel N. FrankiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

Audrey E. HendricksORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintMay 20, 2026

IgA Targeting in the Infant Gut Is Modulated by Diet and Increasingly Directed Towards Persistent Species

Chang Liu, Parsa Ghadermazi, Soren Maret…·Matthew R. Olm

This study uses MIg-Seq to analyze IgA targeting in infant gut microbiota, finding increased targeting of Bifidobacterium and diet-specific associations with IgA binding.

DOI 10.64898/2026.05.19.726352

humanmetagenomics

𝕏 PostBluesky

MicrobiologybioRxivPreprintNov 1, 2024

Network-based representation learning reveals the impact of age and diet on the gut microbial and metabolomic environment of U.S. infants in a randomized controlled feeding trial

Adelle Price, Sakaiza Rasolofomanana-Rajery, Keenan Manpearl…·Minghua Tang

The paper uses network representation learning to analyze gut microbiome and metabolomic data from U.S. infants, finding diet type influences microbial and metabolic profiles during complementary feeding.

DOI 10.1101/2024.11.01.621627

humanmetagenomics

𝕏 PostBluesky