SUPPLEMENTARY WEBSITES

 

 

 

10.  Lan, L. and Datta, S.  Nonparametric estimation of state occupation, entry and exit times with multistate current status data. Statistical Methods in Medical Research, to appear (2008)   CLICK

 

9. Pihur, V., Datta, S. and Datta, S. Finding cancer genes through meta-analysis of microarray experiments: Rank aggregation via the cross entropy algorithm. CAMDA 2007, abridged version, online @ http://camda.bioinfo.cipf.es/camda07/agenda/detailed.html   CLICK

 

8. Pihur, V., Datta, S. and Datta, S. Understanding Chronic Fatigue Syndrome (CFS) from CAMDA data: A systems biology approach. CAMDA 2007, full paper, online @ http://camda.bioinfo.cipf.es/camda07/agenda/detailed.html   CLICK

 

7. Pihur, V., Datta, S., and Datta, S.  Reconstruction of genetic networks from microarray data: A Partial Least Squares approach. Bioinformatics, Advanced access: doi:10.1093/bioinformatics/btm640   CLICK

 

6. Pihur, V., Datta, S. and Datta, S. Weighted rank aggregation of cluster validation measures: A Monte Carlo cross-entropy approach.  Bioinformatics, 3, 1607-1615 (2007).  CLICK

 

5. Boratyn, G. M., Datta, S. and Datta, S. Incorporation of biological knowledge into distance for clustering genes, Bioinformation, 1, 396-405 (2007).        CLICK

 

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

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3. Satten, G. A., Datta, S., Moura, H., Woolfitt, A., Carvalho, G., De, B. K,  Pavlopoulos, A., Carlone, G. M., and Barr, J. Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens,  Bioinformatics, 20, 3128-3136 (2004).       CLICK  

 

2. Datta, S.,  Satten, G. A., Benos, D. J., Xia, J.,  Heslin, M., and Datta, S. An empirical Bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experimentsBioinformatics,  20, 235-242 (2004). CLICK  

 

1.  Datta, S. and Datta, S. Comparisons and validation of statistical clustering techniques for microarray gene expression dataBioinformatics, 19,  459-466.                 CLICK