Introduction to Machine Learning and Bioinformatics
Mitra, Sushmita
Introduction to Machine Learning and Bioinformatics - USA Taylor and Francis Group 2015 - 366p - Computer Science and Data Analysis Series .
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
9781584886822
Information Technology
006.31 / MIT
Introduction to Machine Learning and Bioinformatics - USA Taylor and Francis Group 2015 - 366p - Computer Science and Data Analysis Series .
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
9781584886822
Information Technology
006.31 / MIT