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

The toolbox can be used for missing value estimation

バージョン 1.0.0.0 (12.7 KB)
ダウンロード: 1.4K 件
(0)
2006/8/22

現在この提出コンテンツをフォロー中です。

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

引用

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

カテゴリ

Help Center および MATLAB Answers で Genomics and Next Generation Sequencing についてさらに検索

一般的な情報

MATLAB リリースの互換性

  • すべてのリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
新しいタブで開く
バージョン 公開済み リリース ノート
1.0.0.0

The description has been updated