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Biological Networks and Pathway Analysis

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Cover of 'Biological Networks and Pathway Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 A Practical Guide to Quantitative Interactor Screening with Next-Generation Sequencing (QIS-Seq)
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    Chapter 2 sbv IMPROVER: Modern Approach to Systems Biology
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    Chapter 3 Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS)
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    Chapter 4 Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data
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    Chapter 5 Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks
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    Chapter 6 Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated “Knowledge-Based” Platform
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    Chapter 7 Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond
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    Chapter 8 Search for Master Regulators in Walking Cancer Pathways
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    Chapter 9 Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles
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    Chapter 10 A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores
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    Chapter 11 Analysis of cis-Regulatory Elements in Gene Co-expression Networks in Cancer
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    Chapter 12 Rule Mining Techniques to Predict Prokaryotic Metabolic Pathways
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    Chapter 13 ArrayTrack: An FDA and Public Genomic Tool
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    Chapter 14 Identification of Transcriptional Regulators of Psoriasis from RNA-Seq Experiments
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    Chapter 15 Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases
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    Chapter 16 Semantic Data Integration and Knowledge Management to Represent Biological Network Associations
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    Chapter 17 Knowledge-Based Compact Disease Models: A Rapid Path from High-Throughput Data to Understanding Causative Mechanisms for a Complex Disease
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    Chapter 18 Pharmacologic Manipulation of Wnt Signaling and Cancer Stem Cells
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    Chapter 19 Functional Network Disruptions in Schizophrenia
Overall attention for this book and its chapters
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Title
Biological Networks and Pathway Analysis
Published by
Springer New York, January 2017
DOI 10.1007/978-1-4939-7027-8
ISBNs
978-1-4939-7025-4, 978-1-4939-7027-8
Editors

Ph.D. Tatiana V. Tatarinova, Yuri Nikolsky

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 33%
Researcher 13 24%
Student > Master 8 15%
Other 4 7%
Student > Bachelor 3 6%
Other 3 6%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 33%
Biochemistry, Genetics and Molecular Biology 15 28%
Medicine and Dentistry 4 7%
Computer Science 3 6%
Mathematics 1 2%
Other 5 9%
Unknown 8 15%