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Frederic Commo

dblp:179/5532 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—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 · 67% Medical and health informatics · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomic hybridization
0.212016
rCGH: a comprehensive array-based genomic profile platform for precision medicine · Bioinform. 2016
Bioinformatics and computational biology
genomics
0.212016
rCGH: a comprehensive array-based genomic profile platform for precision medicine · Bioinform. 2016
Medical and health informatics
precision medicine
0.212016
rCGH: a comprehensive array-based genomic profile platform for precision medicine · Bioinform. 2016

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

array-based CGH analysis · 0.2
YearPublicationVenuePosition
2016 rCGH: a comprehensive array-based genomic profile platform for precision medicine
abstract
UNLABELLED: We present rCGH, a comprehensive array-based comparative genomic hybridization analysis workflow, integrating computational improvements and functionalities specifically designed for precision medicine. rCGH supports the major microarray platforms, ensures a full traceability and facilitates profiles interpretation and decision-making through sharable interactive visualizations. AVAILABILITY AND IMPLEMENTATION: The rCGH R package is available on bioconductor (under Artistic-2.0). The aCGH-viewer is available at https://fredcommo.shinyapps.io/aCGH_viewer, and the application implementation is freely available for installation at https://github.com/fredcommo/aCGH_viewer CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Frederic Commo, Justin Guinney, Charles Ferté, Brian M. Bot, Celine Lefebvre, Jean-Charles Soria, Fabrice André
Bioinform.1