Machine Learning in Bioinformatics Zhang Hardback Wiley–Blackwell 9780470116623

Machine Learning in BioinformaticsAuthor(s): Yanqing Zhang, Jagath C. Rajapakse, Albert Y. Zomaya, Yi Pan\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9780470116623, 978-0470116623\nSynopsis\nAn introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. From an internationally recog.