Collateral Missing Value Estimation: a new robust missing value estimation algorithm for microarray

Version 1.0.0.0 (12.7 KB) by Muhammad Shoaib Sehgal
The toolbox can be used for missing value estimation
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Updated 22 Aug 2006

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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

www.gscit.monash.edu.au/~shoaib

Cite As

Muhammad Shoaib Sehgal (2025). Collateral Missing Value Estimation: a new robust missing value estimation algorithm for microarray (https://se.mathworks.com/matlabcentral/fileexchange/12006-collateral-missing-value-estimation-a-new-robust-missing-value-estimation-algorithm-for-microarray), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2006a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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cmve release v1.1/

Version Published Release Notes
1.0.0.0

The description has been updated