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» Learning Methods for DNA Binding in Computational Biology
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BMCBI
2007
145views more  BMCBI 2007»
14 years 9 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
84
Voted
BMCBI
2008
98views more  BMCBI 2008»
14 years 9 months ago
MTAP: The Motif Tool Assessment Platform
Background: In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory bindi...
Daniel Quest, Kathryn Dempsey, Mohammad Shafiullah...
EVOW
2010
Springer
14 years 8 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan
CHI
2009
ACM
15 years 10 months ago
A biologically inspired approach to learning multimodal commands and feedback for human-robot interaction
In this paper we describe a method to enable a robot to learn how a user gives commands and feedback to it by speech, prosody and touch. We propose a biologically inspired approac...
Anja Austermann, Seiji Yamada
75
Voted
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed