The Bioinformatics : Machine Learning Approach.

The Bioinformatics : Machine Learning Approach.

A guide to machine learning approaches and their application to the analysis of biological data.

Saved in:

Bibliographic Details
Main Author:	Brunak, Søren (Author)
Format:	Electronic eBook
Language:	English
Published:	MIT Press 2001.
Series:	Adaptive computation and machine learning Bioinformatics
Subjects:	Bioinformatics > Computer simulation. Molecular biology > Mathematical models. Molecular biology. Neural networks (Computer science) Machine learning. Markov processes. Stochastic processes. Probabilities. Pattern recognition systems. Biology. Statistics. Life sciences. Physical sciences. Public health. Medical care. Artificial intelligence. Computational biology. Bioinformatics. Mathematical models. Stochastic Processes Mathematical Concepts Computing Methodologies Probability Pattern Recognition, Automated Investigative Techniques Biology Phenomena and Processes Statistics as Topic Information Science Biological Science Disciplines Analytical, Diagnostic and Therapeutic Techniques and Equipment Epidemiologic Methods Health Care Evaluation Mechanisms Natural Science Disciplines Public Health Quality of Health Care Disciplines and Occupations Environment and Public Health Health Care Quality, Access, and Evaluation Delivery of Health Care Artificial Intelligence Neural Networks, Computer Computational Biology Markov Chains Models, Theoretical Molecular Biology Machine Learning Patient Care molecular biology. probability. biology. biological sciences. physical sciences. public health. artificial intelligence. mathematical models. statistics.
Online Access:	Full text (Wentworth users only)
Local Note:	ProQuest Ebook Central

Internet

Full text (Wentworth users only)