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Open Access

Peer-reviewed

Research Article

A model for isoform-level differential expression analysis using RNA-seq data without pre-specifying isoform structure

Yang Liu,

Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States of America
⨯
Junying Wang,

Roles Formal analysis, Software, Validation, Visualization, Writing – review & editing

Affiliation Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States of America
⨯
Song Wu ,

Roles Conceptualization, Formal analysis, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: song.wu@stonybrook.edu (SW); jie.yang@stonybrookmedicine.edu (JY)

Affiliation Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States of America
⨯
Jie Yang

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

* E-mail: song.wu@stonybrook.edu (SW); jie.yang@stonybrookmedicine.edu (JY)

Affiliation Department of Family, Population, Preventive Medicine, School of Medicine, Stony Brook University, Stony Brook, NY, United States of America
⨯

A model for isoform-level differential expression analysis using RNA-seq data without pre-specifying isoform structure

Yang Liu,
Junying Wang,
Song Wu,
Jie Yang

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Published: May 16, 2022
https://doi.org/10.1371/journal.pone.0266162

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Gene expression
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