 |
Bioinformatics Tools
Text-mining tools
Semantic Gene Organizer Gene-set Cohesion Analysis Tool GeneIndexer Chilibot ArrowSmith GoPubMed iHOP String
Gene Expression tools
GeneSpring GeneMaths WebGestalt
Free Microarray Analysis Tools
BioConductor By BioConductor Team It is Primarily based on the R programming language. It aims to provide access to a wide range of powerful statistical and graphical methods for the analysis of genomic data. Analysis packages are available for: pre-processing Affymetrix and cDNA array data.
Cleaver 1.0 By Stanford Biomedical Informatics Classification (discriminant analysis), K-means clustering, PCA
Cluster Identification Tool (CIT) By Van Andel Research Institute Statistical discrimination metric and permutation analysis to identify clusters of genes or individual genes that best differentiate experimental groups.
Gene Cluster 2.0 By Whitehead Institute Centre for genome research filter and preprocess data in a variety of ways; Self-Organizing Map; unsupervised classification by weighted voting (WV) and k-nearest neighbors (KNN) algorithms, gene selection and permutation test methods
PAM (Prediction Analysis for Microarrays) By Tibshirani Lab; Department of Statistics, Stanford University Performs sample classification from gene expression data, Estimates prediction error via cross-validation, Provides a list of significant genes whose expression characterizes each diagnostic class
SAM (Significance Analysis of Microarrays) By Tibshirani Lab; Department of Statistics, Stanford University Correlates gene expression data to a wide variety of clinical parameters including treatment, diagnosis categories, survival time and time trends; Provides estimate of False Discovery Rate for multiple testing.
|