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题名/责任者:

Computational methods for processing and analysis of biological pathways / Anastasios Bezerianos, Andrei Dragomir, Panso Balomenos.

出版发行项:

New York, NY : Springer Berlin Heidelberg, 2017.

ISBN:

9783319538679

载体形态项:

viii, 87 pages : illustrations ; 24 cm.

丛编说明:

SpringerBriefs in computer science

丛编统一题名:

SpringerBriefs in computer science.

个人责任者:

Bezerianos, Anastasios, author.

附加个人名称:

Dragomir, Andrei, author.

附加个人名称:

Balomenos, Panos, author.

论题主题:

Drugs-Design.

论题主题:

Systems biology.

中图法分类号:

R9

书目附注:

Includes bibliographical references.

内容附注:

Preface; Contents; 1 Introduction; Abstract; 1.1 Biological Networks; 1.1.1 Properties; 1.1.2 Categories of Biological Networks; 1.2 Pathway Analysis; 1.2.1 Methodology; 1.2.2 Evolution of Pathway Analysis Methods; 1.3 Systems Pharmacology; References; 2 Networks and Pathways in Systems Pharmacology; Abstract; 2.1 Introduction; 2.2 Network- and Pathway/Sub-pathway-Based Characterization of Drugs Mechanism of Action; 2.3 Identification of New Drug Targets and Polypharmacology Applications; 2.3.1 Target Characterization and Identification Using Network Properties of Drug Targets.

内容附注:

2.3.2 Identification of Drug Targets Based on Integrative Network Approaches2.3.3 Network-Based Polypharmacology; 2.4 Network-Based Drug Repositioning; 2.4.1 Drug Repositioning Based on Molecular Profiles; 2.4.2 Drug Repositioning Based on Phenotypic Profiles; 2.5 Network-Based Side Effect Modeling and Prediction; 2.5.1 Approaches Based on Chemical Structure; 2.5.2 Approaches Based on Pathways/Sub-pathways; 2.6 Current Challenges and Future Considerations; References; 3 Time-Varying Methods for Pathway and Sub-pathway Analysis; Abstract; 3.1 Introduction.

内容附注:

3.2 Conversion of Pathway Databases to Graphs3.3 Time-Varying Pathway and Sub-pathway Extraction; 3.3.1 Linear Sub-pathway Extraction; 3.3.2 Nonlinear Sub-pathway Extraction; 3.4 Temporal Dynamics Scoring Schemes; 3.4.1 Approach Followed in CHRONOS; 3.4.2 Other Approaches; 3.5 Synthetic and Biological Data Analysis Results; References; 4 Identification of Differentially Expressed Pathways and Sub-pathways; Abstract; 4.1 Introduction; 4.2 Approaches Based on Gene Sets; 4.3 Approaches Based on Pathway Topology; 4.4 Conversion of Pathway Databases Information to Graphs.

内容附注:

4.5 Gene and Pathway-Level Statistics of Differential Expression4.5.1 Methods Using Experimental Data for Sub-pathway Identification; 4.5.2 Methods Using Experimental Data for Evaluating the Statistical Significance of Sub-pathways; 4.6 DEsubs: A Flexible Tool for Identification of Differentially Expressed Sub-pathways; References.

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