Math @ Duke

Research Interests for Sayan Mukherjee
Research Interests: Computational biology, geometry and topology, machine learning
My research interests are in computational biology
and machine learning. In both contexts I am interested in using geometry to improve statistical models for highdimensional data.  Representative Publications
 Natesh Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert, Characterizing the function space for Bayesian kernel models,
Journal of Machine Learning Research, vol. 8
(August, 2007),
pp. 17691797 [html] [abs]
 E. Edelman, J. Guinney, JT. Chi, P.G. Febbo, and S. Mukherjee, Modeling Cancer Progression via Pathway Dependencies,
Public Library of Science Computational Biology
(Accepted, 2007) [html]
 S. Mukherjee, Q. Wu, DX. Zhou, Learning Gradients and Feature Selection on Manifolds,
Annals of Statistics
(Submitted, 2007) [html]
 Q. Wu, J. Guinney, M. Maggioni, and S. Mukherjee, Learning gradients: predictive models that infer geometry and dependence,
Journal of Machine Learning Research
(Submitted, 2007) [html]
 J. Guinney, Q. Wu, and S. Mukherjee, Estimating variable structure and dependence in Multitask learning via gradients,
Journal of Machine Learning Research
(Submitted, 2007) [html]
 F. Liang, K. Mao, M. Liao, S. Mukherjee and M. West, Nonparametric Bayesian kernel models,
Biometrika
(Submitted, 2007) [html]
 A. Subramanian, P. Tamayo, VK. Mootha, S. Mukherjee, BL. Ebert, MA. Gillette, A. Paulovich, SL. Pomeroy, TR. Golub, ES. Lander, JP. Mesirov, Gene set enrichment analysis: a knowledgebased approach for interpreting genomewide expression profiles,
PNAS, vol. 102 no. 43
(October, 2005),
pp. 152789 [15545]
 A. Potti, S. Mukherjee, R. Petersen, HK. Dressman, A. Bild, J. Koontz, R. Kratzke, MA. Watson, M. Kelley, A Genomic Strategy to Refine Prognosis in Early Stage NonSmall Cell Lung Carcinoma,
New England Journal of Medicine, vol. 355 no. 6
(2006),
pp. 570580 [pdf]
 T. Poggio, R. Rifkin, S. Mukherjee, P. Niyogi, Learning Theory: general conditions for predictivity,
Nature, vol. 428
(March, 2004),
pp. 419422 [html]


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

