Author

Paveethran Swaminathan

Oregon Health & Science University

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· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Changlin WaniD· 2 shared Chi ZhangiD· 2 shared Pengtao DangiD· 2 shared Sha CaoiD· 2 shared Anjun MaiD· 1 shared Haiqi ZhuiD· 1 shared Jia Wang· 1 shared Mark R. KelleyiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Changlin WanORCID

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2 papers

Recent·Most cited

A kinetic-aware approach to infer metabolic variations and flux using transcriptomics and metabolomics data

Haiqi Zhu, Changlin Wan, Min Yang, Yue Fang, Zheng An, Paveethran Swaminathan, Pengtao Dang, Zhi Li, Jia Wang, Yijie Wang, Yabing Chen, Anjun Ma, Qin Ma, Mark R. Kelley, Sha Cao, , Chi Zhang

This paper introduces mmFEA, a kinetic-aware framework for estimating metabolic flux changes from transcriptomics and metabolomics data, showing improved accuracy over baseline methods.

bioRxiv · Oct 2, 2026 · PreprintSystems Biology

MetaKnogic-Alpha: A Hyper-Relational Knowledge Base for Grounded Metabolic Reasoning

Pengtao Dang, Paveethran Swaminathan, Tingbo Guo, Changlin Wan, Sha Cao, Chi Zhang

MetaKnogic-Alpha transforms biomedical literature into a hyper-relational knowledge base for metabolic reasoning, achieving high mechanistic accuracy through automated synthesis and biochemical grounding.

bioRxiv · Feb 9, 2026 · PreprintBioinformatics