A model for isoform-level differential expression analysis using RNA-seq data without pre-specifying isoform structure.
<h4>Motivation</h4>Next generation sequencing (NGS) technology has been widely used in biomedical research, particularly on those genomics-related studies. One of NGS applications is the high-throughput mRNA sequencing (RNA-seq), which is usually applied to evaluate gene expression level...
Main Authors: | Yang Liu, Junying Wang, Song Wu, Jie Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0266162 |
Similar Items
-
Estimation of Gene Expression at Isoform-level from mRNA-Seq Data by Bayesian Hierarchical Modeling
by: Madhuchhanda eBhattacharjee, et al.
Published: (2012-11-01) -
Combining Multiple RNA-Seq Data Analysis Algorithms Using Machine Learning Improves Differential Isoform Expression Analysis
by: Alexandros C. Dimopoulos, et al.
Published: (2021-09-01) -
Time-course RNA-Seq profiling reveals isoform-level gene expression dynamics of the cGAS-STING pathway
by: Jing Sun, et al.
Published: (2022-01-01) -
Psoriasis-Specific RNA Isoforms Identified by RNA-seq Analysis of 173,446 Transcripts
by: Sulev Kõks, et al.
Published: (2016-10-01) -
Differential expression of mRNA 3′-end isoforms in cervical and ovarian cancers
by: Didem Naz Dioken, et al.
Published: (2023-09-01)