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» Spotting effect in microarray experiments
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BMCBI
2010
129views more  BMCBI 2010»
13 years 7 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
IEEEMM
2007
146views more  IEEEMM 2007»
13 years 7 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
BMCBI
2010
187views more  BMCBI 2010»
13 years 7 months ago
PathEx: a novel multi factors based datasets selector web tool
Background: Microarray experiments have become very popular in life science research. However, if such experiments are only considered independently, the possibilities for analysi...
Eric Bareke, Michael Pierre, Anthoula Gaigneaux, B...
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
Background: High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical question...
James H. Bullard, Elizabeth Purdom, Kasper D. Hans...
PR
2006
161views more  PR 2006»
13 years 7 months ago
Incremental wrapper-based gene selection from microarray data for cancer classification
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single exp...
Roberto Ruiz Sánchez, José Crist&oac...