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

Versione 1.0.0.0 (12,7 KB) da Muhammad Shoaib Sehgal
The toolbox can be used for missing value estimation
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Aggiornato 22 ago 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

Cita come

Muhammad Shoaib Sehgal (2026). Collateral Missing Value Estimation: a new robust missing value estimation algorithm for microarray (https://it.mathworks.com/matlabcentral/fileexchange/12006-collateral-missing-value-estimation-a-new-robust-missing-value-estimation-algorithm-for-microarray), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2006a
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1.0.0.0

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