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» Methods for Predicting Target Sites of Transcription Factors
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BMCBI
2008
116views more  BMCBI 2008»
13 years 8 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
ALMOB
2008
124views more  ALMOB 2008»
13 years 8 months ago
A scoring matrix approach to detecting miRNA target sites
Background: Experimental identification of microRNA (miRNA) targets is a difficult and time consuming process. As a consequence several computational prediction methods have been ...
Simon Moxon, Vincent Moulton, Jan T. Kim
BMCBI
2007
143views more  BMCBI 2007»
13 years 8 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
BMCBI
2010
116views more  BMCBI 2010»
13 years 8 months ago
Predicting success of oligomerized pool engineering (OPEN) for zinc finger target site sequences
Background: Precise and efficient methods for gene targeting are critical for detailed functional analysis of genomes and regulatory networks and for potentially improving the eff...
Jeffry D. Sander, Deepak Reyon, Morgan L. Maeder, ...