Author

Mei Ling Hou

Peking UniversityORCID 0000-0002-7590-8633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

De-Chang Yang· 1 shared Ge GaoiD· 1 shared Jingyi LiiD· 1 shared Ke LaniD· 1 shared Shuai JiangiD· 1 shared Yu-Jian Kang· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

De-Chang Yang

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1 paper

Recent·Most cited

Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells

Yu-Jian Kang, Jingyi Li, Ke Lan, Shuai Jiang, De-Chang Yang, Mei Ling Hou, Ge Gao

The paper introduces RiboCalc, a model that quantitatively predicts transcript coding ability in human cells, revealing context-dependent coding transcripts.

Briefings in Bioinformatics · Oct 25, 2021Peer-reviewedBioinformatics