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» Statistical significance in biological sequence analysis
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BMCBI
2008
95views more  BMCBI 2008»
14 years 12 months ago
Gene set analyses for interpreting microarray experiments on prokaryotic organisms
Background: Despite the widespread usage of DNA microarrays, questions remain about how best to interpret the wealth of gene-by-gene transcriptional levels that they measure. Rece...
Nathan L. Tintle, Aaron A. Best, Matthew DeJongh, ...
BMCBI
2007
171views more  BMCBI 2007»
14 years 12 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
ALMOB
2008
95views more  ALMOB 2008»
14 years 12 months ago
A stitch in time: Efficient computation of genomic DNA melting bubbles
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses th...
Eivind Tøstesen
BMCBI
2010
124views more  BMCBI 2010»
14 years 12 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
BMCBI
2004
207views more  BMCBI 2004»
14 years 11 months ago
Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resen
Background: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition moti...
Davide Corà, Ferdinando Di Cunto, Paolo Pro...