Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kenneth M. Weiss
dblp:75/5032
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
complex trait genetics |
0.1 | 1 | 2008 | ForSim: a tool for exploring the genetic architecture of complex traits with controlled truth · Bioinform. 2008 |
Bioinformatics and computational biology
population genetics |
0.1 | 1 | 2008 | ForSim: a tool for exploring the genetic architecture of complex traits with controlled truth · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
forward simulation · 0.1demographic modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | ForSim: a tool for exploring the genetic architecture of complex traits with controlled truthabstractUNLABELLED: Many important problems in biology involve complex traits affected by multiple coding or regulatory parts of the genome. How well the underlying genetic architecture can be inferred by statistical methods such as mapping and association studies are active research areas. ForSim is a flexible forward evolutionary simulation tool for exploring the consequences of evolution by phenotype, whereby demographic, chance, behavioral and selective effects mold genetic architecture. Simulation is useful for exploring these issues as well as the choice of study design inferential methods. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Brian W. Lambert, Joseph D. Terwilliger, Kenneth M. Weiss |
Bioinform. | 3 |