Introduction to Machine Learning and Bioinformatics
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12

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Published By Chapman And Hall/CRC

9780429138676

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Computational Intelligence in Bioinformatics

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-9 ◽

2008 ◽

pp. 173-228

Keyword(s):

Computational Intelligence

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Introduction

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-4 ◽

2008 ◽

pp. 19-22

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Modeling and Analysis of Quantitative Proteomics Data Obtained from iTRAQ Experiments

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-14 ◽

2008 ◽

pp. 345-356

Keyword(s):

Quantitative Proteomics ◽

Proteomics Data ◽

Modeling And Analysis

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Machine Learning in Structural Biology: Interpreting 3D Protein Images

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-11 ◽

2008 ◽

pp. 255-294

Keyword(s):

Machine Learning ◽

Structural Biology

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Connections between Machine Learning and Bioinformatics

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-10 ◽

2008 ◽

pp. 229-254

Keyword(s):

Machine Learning

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Classification Techniques

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-7 ◽

2008 ◽

pp. 119-146

Keyword(s):

Classification Techniques

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Statistical Methods for Classifying Mass Spectrometry Database Search Results

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-15 ◽

2008 ◽

pp. 357-378

Keyword(s):

Mass Spectrometry ◽

Statistical Methods ◽

Database Search ◽

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The Biology of a Living Organism

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-5 ◽

2008 ◽

pp. 23-42

Keyword(s):

Living Organism

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Probabilistic and Model-Based Learning

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-6 ◽

2008 ◽

pp. 43-118

Keyword(s):

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Bayesian Machine-Learning Methods for Tumor Classification Using Gene Expression Data

Introduction to Machine Learning and Bioinformatics ◽

10.1201/b17186-13 ◽

2008 ◽

pp. 321-344

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Learning Methods ◽

Machine Learning Methods ◽

Bayesian Machine Learning

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