MSIQ: joint modeling of multiple RNA-seq samples for accurate isoform quantification

DOI10.1214/17-AOAS1100zbMath1393.62078arXiv1603.05915OpenAlexW2962721273WikidataQ55080875 ScholiaQ55080875MaRDI QIDQ1647636

Jingyi Jessica Li, Wei Vivian Li, Anqi Zhao, Shi-Hua Zhang

Publication date: 26 June 2018

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.05915

zbMATH Keywords

Gibbs samplingBayesian hierarchical modelsisoform abundance estimationdata heterogeneityjoint inference from multiple samplesRNA sequencing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

MSIQ: joint modeling of multiple RNA-seq samples for accurate isoform quantification

Uses Software

• casper
• TopHat
• RSEM
• GENCODE
• WemIQ
• MITIE
• CLIIQ

Cites Work

• MSIQ: joint modeling of multiple RNA-seq samples for accurate isoform quantification
• Quantifying alternative splicing from paired-end RNA-sequencing data

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