Sciweavers

979 search results - page 71 / 196
» Analysis of variance components in gene expression data
Sort
View
CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Analysis of SNP-Expression Association Matrices
High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this ...
Anya Tsalenko, Roded Sharan, Hege Edvardsen, Vesse...
EVOW
2005
Springer
15 years 3 months ago
Evolutionary Biclustering of Microarray Data
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
Jesús S. Aguilar-Ruiz, Federico Divina
CORR
2007
Springer
198views Education» more  CORR 2007»
14 years 9 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
BMCBI
2008
173views more  BMCBI 2008»
14 years 10 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
BMCBI
2005
152views more  BMCBI 2005»
14 years 9 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...