Author

Puhua Niu

Texas A&M UniversityORCID 0000-0002-5127-1690Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:metabolomics· 1

Frequent Co-Authors

Byung-Jun YooniD· 2 shared Edward R. Dougherty· 2 shared Francis J. AlexanderiD· 2 shared Ian K. BlabyiD· 2 shared Maria J. SotoiD· 2 shared Xiaoning QianiD· 2 shared Shuai HuangiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Byung-Jun YoonORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedMar 24, 2023

Sensitivity analysis of genome-scale metabolic flux prediction

Puhua Niu, Maria J. Soto, Shuai Huang…·Xiaoning Qian

The paper develops a sensitivity analysis strategy for genome-scale metabolic flux prediction using TRIMER, showing its utility in guiding optimal experimental design for metabolic engineering.

DOI 10.1089/cmb.2022.0368

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsiSciencePeer-reviewedOct 7, 2021

TRIMER: Transcription Regulation Integrated with MEtabolic Regulation

Puhua Niu, Maria J. Soto, Byung-Jun Yoon…·Xiaoning Qian

TRIMER integrates transcriptional and metabolic regulation to predict metabolic fluxes and gene states, outperforming existing methods on simulated and experimental data.

11 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky