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Emmanuel Chaplais

dblp:172/0343 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis
gene co-expression network		 0.212015
stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation · Bioinform. 2015
Bioinformatics and computational biology › network bioinformatics › biological network analysis › biological network inference
gene network inference		 0.212015
stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation · Bioinform. 2015

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

semantic network · 0.2gaussian network · 0.2
YearPublicationVenuePosition
2015 stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation
abstract
MOTIVATION: Knowledge-based and co-expression networks are two kinds of gene networks that can be currently implemented by sophisticated but distinct tools. We developed stringgaussnet, an R package that integrates both approaches, starting from a list of differentially expressed genes. CONTACT: [email protected]. AVAILABILITY AND IMPLEMENTATION: Freely available on the web at http://cran.r-project.org/web/packages/stringgaussnet.
Emmanuel Chaplais, Henri-Jean Garchon
 Bioinform.1