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Data Mining for Systems Biology

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Cover of 'Data Mining for Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Dense Module Enumeration in Biological Networks
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    Chapter 2 Discovering Interacting Domains and Motifs in Protein–Protein Interactions
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    Chapter 3 Global alignment of protein-protein interaction networks.
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    Chapter 4 Structure learning for bayesian networks as models of biological networks.
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    Chapter 5 Supervised Inference of Gene Regulatory Networks from Positive and Unlabeled Examples
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    Chapter 6 Mining regulatory network connections by ranking transcription factor target genes using time series expression data.
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    Chapter 7 Identifying Pathways of Coordinated Gene Expression
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    Chapter 8 Data Mining for Systems Biology
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    Chapter 9 Chemogenomic approaches to infer drug-target interaction networks.
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    Chapter 10 Localization prediction and structure-based in silico analysis of bacterial proteins: with emphasis on outer membrane proteins.
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    Chapter 11 Analysis Strategy of Protein–Protein Interaction Networks
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    Chapter 12 Data Mining in the MetaCyc Family of Pathway Databases
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    Chapter 13 Gene Set/Pathway Enrichment Analysis
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    Chapter 14 Construction of Functional Linkage Gene Networks by Data Integration
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    Chapter 15 Genome-Wide Association Studies
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    Chapter 16 Viral Genome Analysis and Knowledge Management
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    Chapter 17 Molecular Network Analysis of Diseases and Drugs in KEGG.
Attention for Chapter 2: Discovering Interacting Domains and Motifs in Protein–Protein Interactions
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Chapter title
Discovering Interacting Domains and Motifs in Protein–Protein Interactions
Chapter number 2
Book title
Data Mining for Systems Biology
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-107-3_2
Pubmed ID
Book ISBNs
978-1-62703-106-6, 978-1-62703-107-3
Authors

Willy Hugo, Wing-Kin Sung, See-Kiong Ng, Hugo, Willy, Sung, Wing-Kin, Ng, See-Kiong

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 %
United Kingdom 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 3 19%
Student > Doctoral Student 2 13%
Student > Master 2 13%
Student > Bachelor 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 44%
Agricultural and Biological Sciences 4 25%
Computer Science 1 6%
Social Sciences 1 6%
Unknown 3 19%