Editorial Reviews
Review
"This is a very good book, written with a high level of erudition and insight." -- Gustavo A. Stolovitzky, Physics Today
Terry Gaasterland, Nature Biotechnology, March 1999
"With this work, Baldi and Brunak have provided a sound foundation for the process of classifying and interconnecting the hierarchy of parts encoded by genomic sequence data and their variability. Not only is the book appropriate for students new to this intersection between computation and biology, it will also prove useful for long-time workers on `classic' problems in computational molecular biology. The book has a continuity from beginning to end that helps a reader to develop an understanding of machine learning techniques and how to apply them to molecular biology... this book is one of four indispensable books for the bioinformatician's library."
--This text refers to an out of print or unavailable edition of this title.
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning),Pierre Baldi,Søren Brunak,The MIT Press,026202506X,Bioinformatics,Computer Engineering,Computer Simulation,Computers - General Information,Life Sciences - Biochemistry,Life Sciences - Biology - General,Life Sciences - Biology - Molecular Biology,Mathematical models,Molecular Biology,Neural Networks,Neural networks (Computer scie,Science,Science/Mathematics,Computer modelling & simulation,Computers / Computer Science,Genetics (non-medical),Machine learning
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