Can I read Machine Learning in Bioinformatics (Wiley Series in Bioinformatics) on EtoBox?

Machine Learning in Bioinformatics (Wiley Series in Bioinformatics) by Zhang, Yanqing., Jagath C. Rajapakse, Yan-Qing Zhang, Jagath Chandana Rajapakse is a book available to read on EtoBox.

What is Machine Learning in Bioinformatics (Wiley Series in Bioinformatics) about?

An 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 recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in pro

Author

Zhang, Yanqing., Jagath C. Rajapakse, Yan-Qing Zhang, Jagath Chandana Rajapakse

Publisher

Wiley-Interscience; Wiley

Published

2009

Language

EN

ISBN

9780470116623

Subjects

Engineering, Mathematics, Science