BayICE: a Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data

DOI10.1214/20-AOAS1376zbMath1475.62266OpenAlexW3136741255MaRDI QIDQ2233183

Wen-Ping Hsieh, An-Shun Tai, George C. Tseng

Publication date: 14 October 2021

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

Full work available at URL: https://doi.org/10.1214/20-aoas1376

zbMATH Keywords

hierarchical Bayesiangene expressionstochastic search variable selectioncell proportionsemi-reference-based deconvolution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

BayICE

Uses Software

• R
• spikeslab
• BayCount
• dtangle
• ISOpureR

Cites Work

• Baycount: a Bayesian decomposition method for inferring tumor heterogeneity using RNA-seq counts
• Spike and slab variable selection: frequentist and Bayesian strategies
• A Bayesian False Discovery Rate for Multiple Testing
• Spike and Slab Gene Selection for Multigroup Microarray Data

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