Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alex McCampbell
dblp:49/10258
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
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
functional genomics |
0.1 | 1 | 2011 | cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens · Bioinform. 2011 |
Bioinformatics and computational biology › functional genomics
RNAi screen analysis |
0.1 | 1 | 2011 | cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens · Bioinform. 2011 |
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics |
0.1 | 1 | 2011 | cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
t-test · 0.1RSA · 0.1RIGER · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screensabstractMOTIVATION: Off-target activity commonly exists in RNA interference (RNAi) screens and often generates false positives. Existing analytic methods for addressing the off-target effects are demonstrably inadequate in RNAi confirmatory screens. RESULTS: Here, we present an analytic method assessing the collective activity of multiple short interfering RNAs (siRNAs) targeting a gene. Using this method, we can not only reduce the impact of off-target activities, but also evaluate the specific effect of an siRNA, thus providing information about potential off-target effects. Using in-house RNAi screens, we demonstrate that our method obtains more reasonable and sensible results than current methods such as the redundant siRNA activity (RSA) method, the RNAi gene enrichment ranking (RIGER) method, the frequency approach and the t-test. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Xiaohua Douglas Zhang, Francesca Santini, Raul Lacson, Shane D. Marine, Luca Benetti, Ruojing Yang, Alex McCampbell, Joel P. Berger, Dawn M. Toolan, Erica M. Stec, Daniel J. Holder, Keith A. Soper, Joseph F. Heyse, Marc Ferrer |
Bioinform. | 8 |