Machine Learning in Molecular Biology Sequence Analysis

Chan, Philip K.

To investigate how human characteristics are inherited, molecular biologists have been analyzing chemical sequences from DNA, RNA, and proteins. To facilitate this process, sequence analysis knowledge has been encoded in computer programs. However, translating human knowledge to programs is known to be problematic. Machine Learning techniques allow these systems to be generated automatically. This article discusses the application of learning techniques to various analysis tasks. It is shown that the learned systems constructed to date are often more accurate than human-designed systems. Moreover, learning can form plausible new hypotheses, which potentially lead to discovering new knowledge.


More About This Work

Academic Units
Computer Science
Department of Computer Science, Columbia University
Columbia University Computer Science Technical Reports, CUCS-041-91
Published Here
March 17, 2012