GA Fuzzy Clustering A clustering tool for microarray data
Download

GA Fuzzy Clustering Ranking & Summary

GA Fuzzy Clustering Tags

COM Genetic algorithm Cluster genetic file hider clustering functionality clustering gene expression microarray analyze microarray data microarray data analyzer microarray gene analysis microarray probe microarray Microarray Info Extractor Microarray Analysis microarray layout converter microarray experiment microarray data microarray cluster two-dye microarray data sets microarray data analysis classify microarray data gene clustering PhyloChip microarray DNA microarray facebook chat application file explore data entry speed microsoft works word easy recovery professional core x2 copy software urdu english fuzzy felt user scripts ovguide.com deep magazine savannah aaron bingo caller

GA Fuzzy Clustering Description

The GA Fuzzy Clustering application was developed to be a program that uses combination of Genetic Algorithm and C-Means method for clustering of microarray data and distance matrix data. Input file format:: - This program uses a plain text file as input. - All the data items must be separated by tabulators. - No missing values are allowed. Microarray: - First line contains names of all columns. - Each line (beginning with second) must have the gene name (1 column or more) and the expression values for each condition. Distance matrix: - First line contains caption (single word or a string in the 1st position) and names of elements - Each line (beginning with second) must contain name of element (the same, as in the corresponding column) and values of distances between this element and the others. - Matrix is symmetric. - All values are normalized (not greater than 1.0). - Note: similarity matrix is also allowed. Output file format: - Parameters of the algorithm - Distribution of genes in clusters (if membership is > 1/nuberOfClusters) - Membership matrix for all genes - Coordinates of centers of clusters (in the gene expression units)

GA Fuzzy Clustering Related Software