Demo Data from EDBT 2026 / reviewers in the wild / expert
Cristian I. Castillo-Davis
dblp:05/2497
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › functional genomics
functional enrichment analysis |
0.0 | 1 | 2003 | GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing · Bioinform. 2003 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis |
0.0 | 1 | 2003 | GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing · Bioinform. 2003 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
over-representation analysis |
0.0 | 1 | 2003 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis TestingabstractAbstract 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 |