Demo Data from EDBT 2026 / reviewers in the wild / expert
Yogesh Ramdoss
dblp:69/960
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 › statistical genetics › genetic association study
association mapping |
0.1 | 1 | 2007 | TASSEL: software for association mapping of complex traits in diverse samples · Bioinform. 2007 |
Bioinformatics and computational biology › genomics
genome-wide association study |
0.1 | 1 | 2007 | TASSEL: software for association mapping of complex traits in diverse samples · Bioinform. 2007 |
Bioinformatics and computational biology › population genetics
population stratification correction |
0.1 | 1 | 2007 | TASSEL: software for association mapping of complex traits in diverse samples · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
principal component analysis · 0.1mixed linear model · 0.1general linear model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | TASSEL: software for association mapping of complex traits in diverse samplesabstractAbstract Summary: Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly important. In most studies, however, researchers must contend with the confounding effects of both population and family structure. TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure. For result interpretation, the program allows for linkage disequilibrium statistics to be calculated and visualized graphically. Database browsing and data importation is facilitated by integrated middleware. Other features include analyzing insertions/deletions, calculating diversity statistics, integration of phenotypic and genotypic data, imputing missing data and calculating principal components. Availability: The TASSEL executable, user manual, example data sets and tutorial document are freely available at http://www.maizegenetics.net/tassel. The source code for TASSEL can be found at http://sourceforge.net/projects/tassel. Contact: [email protected] Peter J. Bradbury, Zhiwu Zhang 0001, Dallas E. Kroon, Terry M. Casstevens, Yogesh Ramdoss, Edward S. Buckler |
Bioinform. | 5 |