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Cristian I. Castillo-Davis

dblp:05/2497 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—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 › functional genomics
functional enrichment analysis
0.012003
GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing · Bioinform. 2003
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis
0.012003
GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing · Bioinform. 2003
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
over-representation analysis
0.012003
GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing · Bioinform. 2003

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

statistical hypothesis testing · 0.0rank scoring · 0.0
YearPublicationVenuePosition
2003 GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing
abstract
Abstract Summary: GeneMerge is a web-based and standalone program written in PERL that returns a range of functional and genomic data for a given set of study genes and provides statistical rank scores for over-representation of particular functions or categories in the data set. Functional or categorical data of all kinds can be analyzed with GeneMerge, facilitating regulatory and metabolic pathway analysis, tests of population genetic hypotheses, cross-experiment comparisons, and tests of chromosomal clustering, among others. GeneMerge can perform analyses on a wide variety of genomic data quickly and easily and facilitates both data mining and hypothesis testing. Availability: GeneMerge is available free of charge for academic use over the web and for download from: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html. Contact: [email protected] Supplementary information: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html * To whom correspondence should be addressed.
Cristian I. Castillo-Davis, Daniel L. Hartl
Bioinform.1