BioGoggles BioGoggles software was designed for analysis of multivariate data sets such as gene or protein expression data sets
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BioGoggles Tags

analyzer analysis Analyze data analysis data analyzer gene expression multivariate multivariate analysis protein visualization view gene data display gene data gene expression microarray Gene Expression data gene expression analyzer analyze gene expression gene expression analysis gene visualization gene-reaction-protein network view multivariate dataset protein data conversion Brookhaven Protein Data Bank Protein Data Bank analysis protein-coding gene analysis analyze protein-coding gene protein sequence visualization explore gene expression gene expression viewer analyze gene data gene data analysis expression micro-array data nested multivariate analysis overlay gene expression data multivariate estimation multivariate space analyze gene frequency data expression data gene expression data analysis multivariate nonlinear data multivariate analytical softwar multivariate data analysis multivariate regression multivariate curve resolution

BioGoggles Description

BioGoggles software has been designed for analysis of multivariate data sets such as gene or protein expression data sets. The purpose of BioGoggles is to help discover biomarkers or gene markers. BioGoggles enables visualization of data set with many variables and items and serves as a good starting point for filtering out interesting variables. The input data set must be in table form were variables are columns and items are rows. Currently BioGoggles support import of comma or tab delimited text files (csv and txt format) either from file or clipboard. The variables must be numeric. Group and name variables can be in text format. Typically one column will contain the name of the items and another column contains the group or class information such as "cancer" or "normal" or "A", "B" and "C". In principle BioGoggles can be used to analyze other sources of multivariate data as long as the input data conforms to this data set format. Requirements: ￭ Java platform

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