Technique / Bioinformatics / Microarray data analysis

Bioinformatics methods and techniques for microarray gene expression data analysis, clustering, pattern discovery, statistics , machine learning and visualization.

The Microarray protocol from Brown's lab top rated protocol
Part of MGuid Complete guide to Microarraying for the molecular biologist from the Brown Lab at Stanford University. ...

Collection of papers on microarray data analysis recommended review
Resources maintained by Wentian Li. This is a collection of papers (so far, ~1020 papers, excluding the unpublished preprints) with emphasis on analysis of microarray (a.k.a. DNA chip) data. (Papers on microarray technology itself are not usually in.) ...

Literature on Microarray Data Analysis new recommended review
Literature on microarray overview, experimental design, normalization, identification of differentially expressed genes, classification, cluster analysis and other unsupervised methods. (Anja von Heydebreck, Merck) ...

Bibliography on microarray data analysis new recommended review
This is a collection of papers (so far, ~1310 papers, excluding the unpublished preprints) with emphasis on analysis of microarray (a.k.a. DNA chip) expression data. (Papers on microarray technology itself are not usually in. Also, these topics are not really ...

RMA expression measure of Affy chips (Introduction and Papers) review
Some papers discussing the RMA methodology. From Speedy Berkeley group. The RMA (Robust Multichip Average) expression measure is for Affymetrix Genechip arrays. It fits a robust linear model at the probe level. ...

Microarray Software Comparison new review
Comparision of software used in microarray analysis (by Leung Yuk Fai, Harvard University) Software includes: Probe/primer design software Image analysis software Data preprocessing software Data mining software Turnkey/Enterprise system Compr ...

Microarray Data Analysis (statweb) top rated site
Microarrays are a new technology to investigate the expression levels of thousands of genes simultaneously. Microarrays present new statistical problems because the data is very high dimensional with very little replication. Methods of adjustment for multiple ...

The MicroArray Explorer new database
Microarray Explorer (MAExplorer) is a Java-based data-mining facility for cDNA or oligonucleiotide microarray databases. It may be downloaded and run as a stand-alone application on your computer. Its exploratory data analysis environment provides tools for th ...

Pather classification system gene expression data analysis software
Pather online tools can be used for microarray data intrepretation. Multiple gene lists can be mapped to PANTHER molecular function and biological process categories, as well as to biological pathways. The pathway visualization tool will display your exper ...


More microarray data protocols

• References
• Related Books
• Discussion
• Related news
• Job search

Microarray data analysis
(microarray data analysis overview)
Microarray data analysis tasks include predictive modeling and pattern-detection analysis techniques. Predictive modeling is concerned with predictive classification or function estimation. Pattern-detection detects unknown relationships from available expression data. Basic techniques for microarray analysis include microarray data pre-processing, classification, cluster analysis, correlation and association analysis etc.

Microarray related books
(Biowww bookshelf)
Miroarray experiments and data analysis technique books