ArticleBioinformatics and biology insights2019
Accurate Classification of Differential Expression Patterns in a Bayesian Framework With Robust Normalization for Multi-Group RNA-Seq Count Data.
Article in Bioinformatics and biology insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Suppression of ATM kinase signaling accelerates cellular senescence.Stem cell reports · 2026Article
- MBCdeg4: A modified clustering-based method for identifying differentially expressed genes from RNA-seq data.MethodsX · 2025Article
- Buccal Swab Samples from Japanese Brown Cattle Fed with Limonite Reveal Altered Rumen Microbiome.Animals : an open access journal from MDPI · 2024Article
- Heterogeneous gene expression during early arteriovenous fistula remodeling suggests that downregulation of metabolism predicts adaptive venous remodeling.Scientific reports · 2024Article
- Article
- Autonomous differentiation of transgenic cells requiring no external hormone application: the endogenous gene expression and phytohormone behaviors.Frontiers in plant science · 2024Article
- Article
- Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.Biochimica et biophysica acta. Reviews on cancer · 2021Review
- Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data.BMC bioinformatics · 2021Article
- Dynamics of the cell fate specifications during female gametophyte development in Arabidopsis.PLoS biology · 2021Article
- Commentary: A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Empirical Bayes is a choice framework for differential expression (DE) analysis for multi-group RNA-seq count data. Its characteristic ability to compute posterior probabilities for predefined expression patterns allows users to assign the pattern with the highest value to the gene under consideration. However, current Bayesian methods such as baySeq and EBSeq can be improved, especially with respect to normalization. Two
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Registered trials
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