Author

Wen‐Chi Chou

Broad InstituteORCID 0000-0001-8408-3533Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:bacteria (other)· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Qin MaiD· 2 shared Bingqiang LiuiD· 1 shared Binqiang Liu· 1 shared Bo YaniD· 1 shared Laurence M. EttwilleriD· 1 shared Qi WangiD· 1 shared Sheng-Yong NiuiD· 1 shared Zhao-Qian Liu· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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8 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Qin MaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 2, 2021

Analysis of next- and third-generation RNA-Seq data reveals the structures of alternative transcription units in bacterial genomes

Qi Wang, Zhao-Qian Liu, Bo Yan…·Bingqiang Liu

The paper introduces a computational framework, SeqATU, to predict alternative transcription units in bacterial genomes using RNA-Seq data, achieving high precision and recall in E. coli.

DOI 10.1101/2021.01.02.425006

E. colibulk RNA-seq

𝕏 PostBluesky

BioinformaticsFrontiers in GeneticsPeer-reviewedMay 15, 2019

rSeqTU -- a machine-learning based R package for prediction of bacterial transcription units

Sheng-Yong Niu, Binqiang Liu, Qin Ma, Wen‐Chi Chou

rSeqTU is an R package that predicts bacterial transcription units using machine learning, integrating quality control, feature selection, and visualization tools.

7 citations

bacteria (other)bulk RNA-seq

𝕏 PostBluesky