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» Semantic Mining and Analysis of Gene Expression Data
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BMCBI
2005
142views more  BMCBI 2005»
14 years 10 months ago
CLU: A new algorithm for EST clustering
Background: The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST ...
Andrey A. Ptitsyn, Winston Hide
NAR
2010
194views more  NAR 2010»
14 years 4 months ago
AltAnalyze and DomainGraph: analyzing and visualizing exon expression data
Alternative splicing is an important mechanism for increasing protein diversity. However, its functional effects are largely unknown. Here, we present our new software workflow co...
Dorothea Emig, Nathan Salomonis, Jan Baumbach, Tho...
RECOMB
2002
Springer
15 years 10 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
BMCBI
2010
113views more  BMCBI 2010»
14 years 10 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
15 years 10 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai