Author

Mingcan Tang

University of Glasgow

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Organism:human· 3 Approach:machine learning (classical)· 3 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Carl S. GoodyeariD· 1 shared Duncan R PorteriD· 1 shared Fraser R. MortoniD· 1 shared Stefan SiebertiD· 1 shared Thomas D. OttoiD· 1 shared William A. Haese-HilliD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Carl S. GoodyearORCID

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Author profile →

3 papers

Recent·Most cited

RNAcare: Integrating Clinical Data with Transcriptomic Evidence using Rheumatoid Arthritis as a Case Study

Mingcan Tang, William A. Haese-Hill, Fraser R. Morton, Carl S. Goodyear, Duncan R Porter, Stefan Siebert, Thomas D. Otto

RNAcare integrates clinical and transcriptomic data for bulk RNA-Seq analysis, enabling hypothesis generation about gene expression-clinical symptom relationships in rheumatoid arthritis.

BMC Medical Genomics · May 21, 2025Peer-reviewedBioinformatics

RNAchat: Integrating machine learning algorithms to identify metapathways based on clinical and multi-omics data

Mingcan Tang

RNAchat integrates machine learning with clinical and multi-omics data to identify metapathways and cellular interactions, improving understanding of disease mechanisms like RA and HF.

bioRxiv · Apr 2, 2025 · PreprintBioinformatics

RNAcompare: Integrating machine learning algorithms to unveil the similarities of phenotypes based on clinical, multi-omics using Rheumatoid Arthritis and Heart Failure as Case Studies

Mingcan Tang

RNAcompare integrates clinical and multi-omics data using machine learning to identify phenotypic similarities in rheumatoid arthritis and heart failure, revealing shared molecular pathways and age-related subgroups.

bioRxiv · Apr 2, 2025 · PreprintBioinformatics