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JCNS
2010
61views more  JCNS 2010»
13 years 4 months ago
Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution
Adrien Peyrache, Karim Benchenane, Mehdi Khamassi,...
RECOMB
2004
Springer
13 years 11 months ago
Application of Kernel Method to Reveal Subtypes of TF Binding Motifs
Transcription factor binding sites often contain several subtypes of sequences that follow not just one but several different patterns. We developed a novel sensitive method based ...
Alexander E. Kel, Yuri Tikunov, Nico Voss, Jü...
ECAI
2010
Springer
13 years 7 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
BMCBI
2010
109views more  BMCBI 2010»
13 years 6 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
RECOMB
2002
Springer
14 years 6 months ago
Revealing protein structures: a new method for mapping antibody epitopes
A recent idea for determining the three-dimensional structure of a protein uses antibody recognition of surface structure and random peptide libraries to map antibody epitope comb...
Brendan Mumey, Brian W. Bailey, Edward A. Dratz