![]() ![]() ![]() | ![]() |
![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Note: Links lead to the DBLP on the Web. Pablo Tamayo Sayan Mukherjee , Pablo Tamayo, Simon Rogers , Ryan Rifkin , Anna Engle , Colin Campbell , Todd R. Golub , Jill P. Mesirov : Estimating Dataset Size Requirements for Classifying DNA Microarray Data. Journal of Computational Biology 10 (2): 119-142 (2003) Stefano Monti , Pablo Tamayo, Jill P. Mesirov , Todd R. Golub : Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data. Machine Learning 52 (1-2): 91-118 (2003) Chen-Hsiang Yeang , Sridhar Ramaswamy , Pablo Tamayo, Sayan Mukherjee , Ryan M. Rifkin , Michael Angelo , Michael Reich , Eric S. Lander , Jill P. Mesirov , Todd R. Golub : Molecular classification of multiple tumor types. ISMB (Supplement of Bioinformatics) 2001 : 316-322 Donna K. Slonim , Pablo Tamayo, Jill P. Mesirov , Todd R. Golub , Eric S. Lander : Class prediction and discovery using gene expression data. RECOMB 2000 : 263-272 David M. Beazley , Peter S. Lomdahl , Niels Grønbech-Jensen , Pablo Tamayo: A High Performance Communications and Memory Caching Scheme for Molecular Dynamics on the CM-5. IPPS 1994 : 800-809 Peter S. Lomdahl , Pablo Tamayo, Niels Grønbech-Jensen , David M. Beazley : 50 GFlops molecular dynamics on the Connection Machine 5. SC 1993 : 520-527 Pablo Tamayo, Jill P. Mesirov , Bruce M. Boghosian : Parallel approaches to short range molecular dynamics simulations. SC 1991 : 462-470 1 [ 5 ] 2 [ 2 ] [ 3 ] 3 [ 1 ] 4 [ 7 ] 5 [ 7 ] 6 [ 4 ] [ 5 ] [ 6 ] [ 7 ] 7 [ 2 ] [ 3 ] 8 [ 4 ] [ 5 ] 9 [ 2 ] [ 3 ] 10 [ 1 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] 11 [ 6 ] 12 [ 5 ] [ 7 ] 13 [ 5 ] 14 [ 5 ] 15 [ 7 ] 16 [ 5 ] 17 [ 7 ] 18 [ 4 ] 19 [ 5 ] ![]() ©2004 Association for Computing Machinery |