Welcome to

My Software Page

All software/computer codes listed here are for non-commercial use only.

Furthermore, they are being distributed "as is" without any implicit or explicit

warrantee of any kind. In other words, use them at your own will and risk.

A new version of our R package on Rank Aggregation is available in CRAN as of February 2009.  This version is much faster than the earlier versions.

Also our paper describing the package was just accepted by the journal BMC Bioinformatics. Visit the journal web-site to download a free copy.

      

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Bioinformatics Software

R Package for Rank Aggregation     

Reference:

Pihur, V.,Datta, S. and Datta, S. RankAggreg, an R package for weighted rank aggregation. BMC Bioinformatics, to appear (2009).

Pihur, V., Datta, S. and Datta, S. Weighted rank aggregation of cluster validation measures: A Monte Carlo cross-entropy approach.  Bioinformatics, 23, 1607-1615 (2007)

R Package for Cluster Validation

Reference:

Brock, G.,Pihur, V., Datta, S. and Datta, S. clValid , an R package for cluster validation. Journal of Statistical Software, 25, 4 (2008).

Datta, S.  and Datta, S. Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes, BMC Bioinformatics, 7:397 (2006). 

Datta, S. and Datta, S. Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics, 19,  459-466 (2003).

R code for Empirical Bayes Screening (EBS)
 

Reference:

Datta, S.  and Datta, S.  Empirical Bayes screening (EBS) of many p-values with applications to microarray studies, Bioinformatics, 21,1987-1994 (2005).

Proteomics Software

Fortran code for for Standardization and Denoising Mass Spectra 

Reference:

Datta, S.  and Datta, S.  Empirical Bayes screening (EBS) of many p-values with applications to microarray studies, Bioinformatics, 21,1987-1994 (2005).

Statistics Software

R-codes for Rank Sum Test for Clustered Data      2 groups       m groups 
 

Reference:

Datta, S. and Satten, G. A. Rank-sum tests for clustered data, Journal of the American Statistical Association, 100, 908-915 (2005).

 

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