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Data Mining Techniques for the Life Sciences

Overview of attention for book
Cover of 'Data Mining Techniques for the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Nucleic Acid Sequence and Structure Databases
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    Chapter 2 Genomic Databases and Resources at the National Center for Biotechnology Information
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    Chapter 3 Protein Sequence Databases
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    Chapter 4 Protein Structure Databases
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    Chapter 5 Protein Domain Architectures
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    Chapter 6 Thermodynamic Database for Proteins: Features and Applications
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    Chapter 7 Enzyme databases.
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    Chapter 8 Biomolecular Pathway Databases
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    Chapter 9 Databases of Protein–Protein Interactions and Complexes
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    Chapter 10 Proximity Measures for Cluster Analysis
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    Chapter 11 Clustering Criteria and Algorithms
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    Chapter 12 Neural networks.
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    Chapter 13 A User’s Guide to Support Vector Machines
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    Chapter 14 Data Mining Techniques for the Life Sciences
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    Chapter 15 Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment
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    Chapter 16 Computational Methods for Ab Initio and Comparative Gene Finding
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    Chapter 17 Sequence and structure analysis of noncoding RNAs.
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    Chapter 18 Conformational Disorder
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    Chapter 19 Protein secondary structure prediction.
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    Chapter 20 Analysis and Prediction of Protein Quaternary Structure
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    Chapter 21 Prediction of Posttranslational Modification of Proteins from Their Amino Acid Sequence
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    Chapter 22 Protein Crystallizability
Attention for Chapter 10: Proximity Measures for Cluster Analysis
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Citations

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16 Mendeley
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Chapter title
Proximity Measures for Cluster Analysis
Chapter number 10
Book title
Data Mining Techniques for the Life Sciences
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60327-241-4_10
Pubmed ID
20221919
Book ISBNs
978-1-60327-240-7, 978-1-60327-241-4
Authors

Oliviero Carugo, Carugo, Oliviero

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 13%
Mexico 1 6%
Unknown 13 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Researcher 5 31%
Professor 2 13%
Student > Postgraduate 2 13%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 50%
Computer Science 3 19%
Medicine and Dentistry 2 13%
Chemistry 1 6%
Unknown 2 13%

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