Devarajan, K., Ebrahimi, N. The maximum penalized likelihood approach using nonhomogeneous poisson processes for software reliability and reliability growth models. Invited Book Chapter, Applied Statistical Science V, Nova Science Publishers, New York, 2000..
Devarajan, K., and Ebrahimi, N. (2001). Goodness of fit testing for the cox proportional hazards model. Invited Book Chapter, Goodness-of-Fit Tests and Model Validity, Statistics for Industry and Technology, 235-251, Birkhauser Publishers.
Altomare, D.A., Vaslet, C.A., Skele, K.L., De Rienzo, A., Devarajan, K., McClatchey, A.I., Kane, A.B. Jhanwar, S.C., and Testa, J.R. (2005). A mouse model recapitulating molecular features of human mesothelioma, Priority Report, Cancer Research, 65 (18): 8090-8095.
Cai, K.Q., Klein-Szanto, A., Devarajan, K., Edelson, M., Bergman, C., Daly, M., Ozols, R.F., Godwin, A.K., Hamilton, T., Xu, X (2006). Age-dependent morphological alterations of human ovaries from populations with and without BRCA mutations, Gynecologic Oncology, v.103, no.2.
Rennefahrt, U., Deacon, S., Parker, S.A., Devarajan, K., Besser, A., Chernoff, J., Knapp, S, Turk, B.E. and Peterson, J.R. (2007). Specificity profiling of pak kinases allows identification of novel phosphorylated sites, Journal of Biological Chemistry, 282: 15667-15678.
Caretti, E., Devarajan, K., Coudry, R., Ross, E., Clapper, M., Cooper, H. and Bellacosa, A (2007). Comparison of RNA amplification methods and chip platforms for microarray analysis of samples processed by laser capture microdissection, Journal of Cellular Biochemistry, published online (ahead of print), June 1, 2007.
Devarajan, K., and Ebrahimi, N. (2007). Class discovery via nonnegative matrix factorization, Accepted, to appear in volume 26, American Journal of Management and Mathematical Sciences.
Devarajan, K. (2007). Non-negative matrix factorization ? An analytical and interpretive tool in computational biology, (Invited Review). PLoS Computational Biology, Accepted.
Devarajan, K. (2006). Non-negative matrix factorization ? A new paradigm in large-scale biological data analysis, Proceedings of the Joint Statistical Meetings, Seattle, Washington (CD-ROM)