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Raul Lacson

dblp:47/10258 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
functional genomics
0.112011
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
0.112011
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
0.112011
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
YearPublicationVenuePosition
2011 cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens
abstract
MOTIVATION: 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.3