Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Shuyun Ye

dblp:116/9505 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis › gene co-expression analysis
differential co-expression analysis
0.112012
R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression · Bioinform. 2012
Bioinformatics and computational biology › gene expression analysis
gene co-expression analysis
0.112012
R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression · Bioinform. 2012

Methods — techniques the papers use, named apart from their topics

false discovery rate · 0.1empirical bayesian · 0.1
YearPublicationVenuePosition
2012 R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression
abstract
UNLABELLED: R/EBcoexpress implements the approach of Dawson and Kendziorski using R, a freely available, open source statistical programming language. The approach identifies differential co-expression (DC) by examining the correlations among gene pairs using an empirical Bayesian approach, producing a false discovery rate controlled list of DC pairs. This interrogation of DC gene pairs complements but is distinct from differential expression analyses, under the general goal of understanding differential regulation across biological conditions. AVAILABILITY AND IMPLEMENTATION: R/EBcoexpress is freely available and hosted on Bioconductor; a source file and vignette may be found at http://www.bioconductor.org/packages/release/bioc/html/EBcoexpress.html
John A. Dawson, Shuyun Ye, Christina Kendziorski
Bioinform.2