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Introduction to Machine Learning and Bioinformatics

By: Contributor(s): Material type: TextTextSeries: Computer Science and Data Analysis SeriesPublication details: Taylor and Francis Group USA 2015Description: 366pISBN:
  • 9781584886822
Subject(s): DDC classification:
  • 006.31 MIT
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Chapter: 1 Introduction
Chapter: 2 The Biology of a Living Organism
Chapter: 3 Probabilistic and Model-Based Learning
Chapter: 4 Classification Techniques
Chapter: 5 Unsupervised Learning Techniques
Chapter: 6 Computational Intelligence in Bioinformatics
Chapter: 7 Connections between Machine Learning and Bioinformatics
Chapter: 8 Machine Learning in Structural Biology: Interpreting 3D Protein Images
Chapter: 9 Soft Computing in Biclustering
Chapter: 10 Bayesian Machine-Learning Methods for Tumor Classification Using Expression Data
Chapter: 11 Modeling and Analysis of Quantitative Proteomics Data Obtained from iTRAQ Experiments
Chapter: 12 Statistical Methods for Classifying Mass Spectrometery Database Search Result

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