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Anton Zoubarev

dblp:118/0860 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
gene expression meta-analysis
0.112012
Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data · Bioinform. 2012
Bioinformatics and computational biology › gene expression analysis
gene co-expression analysis
0.012012
Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data · Bioinform. 2012
Bioinformatics and computational biology › multi-omics data integration
genomic data integration
0.012012
Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data · Bioinform. 2012
YearPublicationVenuePosition
2012 Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data
abstract
UNLABELLED: Gemma is a database, analysis software system and web site for genomics data re-use and meta-analysis. Currently, Gemma contains analyzed data from over 3300 expression profiling studies, yielding hundreds of millions of differential expression results and coexpression patterns (correlated expression) for retrieval and visualization. With optional registration users can save their own data and securely share it with other users. Web services and integration with third-party resources further increase the scope of the tools, which include a Cytoscape plugin. AVAILABILITY: http://chibi.ubc.ca/Gemma, Apache 2.0 license.
Anton Zoubarev, Kelsey M. Hamer, Kiran Keshav, E. Luke McCarthy, Joseph Roy C. Santos, Thea Van Rossum, Cameron McDonald, Adam Hall, Raymond Lim, Jesse A. Gillis, Paul Pavlidis
Bioinform.1