The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data.
The imputation performance of the software has proven significant affect on gene regulatory network modelling, class prediction, gene selection, clustering and other subsequent analysis methods.
The toolbox is Unix/Linux Compatible. Windows comaptible version can be downloaded from:
www.gscit.monash.edu.au/~shoaib/cmve.html
or
http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=12006&objectType=file
The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software has proven significant affect on gene regulatory network modelling, class prediction, gene selection, clustering and other subsequent analysis methods.
Further details about CMVE can be found in "Collateral Missing Value Estimation: a new robust missing value estimation algorithm for microarray data", Bioinformatics, 2005.
Feel free to contact me at
Shoaib.Sehgal@gmail.com or visit my page
Further details about CMVE can be found in "Collateral Missing Value Estimation: a new robust missing value estimation algorithm for microarray data", Bioinformatics, 2005.
Feel free to contact me at
Shoaib.Sehgal@gmail.com or visit my page
www.gscit.monash.edu.au/~shoaib |
