KNNimpute – Estimation of Missing Values in Microarray data

KNNimpute

:: DESCRIPTION

KNNimpute (K-Nearest Neighbors Imputation) is an implementation of the k-nearest neighbors algorithm for estimation of missing values in microarray data. In our comparative study of several different methods used for missing value estimation we determined that KNNimpute provides superior performance in a variety of situations.

::DEVELOPER

Laboratory for Bioinformatics and Functional Genomics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 KNNimpute

:: MORE INFORMATION

Citation

Troyanskaya, OG, Cantor, M, Sherlock, G, Brown, P, Hastie, T, Tibshirani, R, Botstein, D, Altman, RB.
Missing value estimation methods for DNA microarrays.
Bioinformatics, 17:520-5, 2001.

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