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» Detecting Fault Modules Using Bioinformatics Techniques
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BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
CSB
2005
IEEE
168views Bioinformatics» more  CSB 2005»
14 years 1 months ago
cis-Regulatory Element Prediction in Mammalian Genomes
The identification of cis-regulatory elements and modules is an important step in understanding the regulation of genes. We have developed a pipeline capable of running multiple m...
Asim S. Siddiqui, Gordon Robertson, Misha Bilenky,...
ISQED
2005
IEEE
106views Hardware» more  ISQED 2005»
14 years 29 days ago
Thermal-Aware Floorplanning Using Genetic Algorithms
In this work, we present a genetic algorithm based thermal-aware floorplanning framework that aims at reducing hot spots and distributing temperature evenly across a chip while op...
Wei-Lun Hung, Yuan Xie, Narayanan Vijaykrishnan, C...
CSB
2003
IEEE
14 years 21 days ago
LOGOS: a modular Bayesian model for de novo motif detection
The complexity of the global organization and internal structures of motifs in higher eukaryotic organisms raises significant challenges for motif detection techniques. To achiev...
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M...
LREC
2008
172views Education» more  LREC 2008»
13 years 8 months ago
CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...