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Volume 1 / 1986 - Volume 86 / 2012
Special Issue: Machine Learning in the Genomics Era
5-9
Editorial Board
Editorial: Methods in Functional Genomics
Paola Sebastiani, Isaac S. Kohane and Marco F. Ramoni
11-30
Relation Between Permutation-Test P Values and Classifier Error Estimates
Tailen Hsing, Sanju Attoor and Edward Dougherty
31-44
Boosting and Microarray Data
Philip M. Long and Vinsensius Berlian Vega
45-66
Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps
Sampsa Hautaniemi, Olli Yli-Harja, Jaakko Astola, Päivikki Kauraniemi and Anne Kallioniemi, et al.
67-89
Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling
Zhang Byoung-Tak, Jinsan Yang and Sung Wook Chi
91-118
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
Stefano Monti, Pablo Tamayo, Jill Mesirov and Todd Golub
119-145
Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets: Application to Gene Expression Data
Soumya Raychaudhuri, Hinrich Schütze and Russ B. Altman
147-167
On Learning Gene Regulatory Networks Under the Boolean Network Model
Harri Lähdesmäki, Ilya Shmulevich and Olli Yli-Harja
169-191
External Control in Markovian Genetic Regulatory Networks
Aniruddha Datta, Ashish Choudhary, Michael L. Bittner and Edward R. Dougherty
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