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RECOMB
2000
Springer
14 years 6 days ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
BMCBI
2007
130views more  BMCBI 2007»
13 years 8 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
TSMC
2008
126views more  TSMC 2008»
13 years 8 months ago
Information Visualization for DNA Microarray Data Analysis: A Critical Review
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression p...
Leishi Zhang, J. Kuljis, Xiaohui Liu
BMCBI
2005
130views more  BMCBI 2005»
13 years 8 months ago
MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
Background: The generation of large amounts of microarray data presents challenges for data collection, annotation, exchange and analysis. Although there are now widely accepted f...
Mahendra Navarange, Laurence Game, Derek Fowler, V...
BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...