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» Gene set analysis using principal components
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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 8 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
Background: Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is gen...
Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee...
BMCBI
2008
90views more  BMCBI 2008»
13 years 8 months ago
Function2Gene: A gene selection tool to increase the power of genetic association studies by utilizing public databases and expe
Background: Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated w...
Don L. Armstrong, Chaim O. Jacob, Raphael Zidovetz...
IDEAL
2005
Springer
14 years 1 months ago
A Comparative Study of Two Novel Predictor Set Scoring Methods
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
Chia Huey Ooi, Madhu Chetty
DAC
2004
ACM
14 years 9 months ago
Statistical timing analysis based on a timing yield model
Starting from a model of the within-die systematic variations using principal components analysis, a model is proposed for estimation of the parametric yield, and is then applied ...
Farid N. Najm, Noel Menezes