Papers: 10.1186/s12918-018-0582-x
https://doi.org/10.1186/s12918-018-0582-x
A powerful nonparametric method for detecting differentially co-expressed genes: distance correlation screening and edge-count test
Cited by: 6
Author(s): Qingyang Zhang
Published: about 7 years ago
Software Mentions 4
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
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bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq dataPapers that mentioned: 261
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assaysPapers that mentioned: 3,071
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