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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

  • Book
  • © 2013

Overview

Editors:
  1. Bairong Shen

    1. Center for Systems Biology, Soochow University, Suzhou, People's Republic of China

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  • Introduces comprehensive and practical methodologies for translational bioinformatics study of complex diseases
  • Provides programming scripts for biomedical tutorial and education
  • Discusses the future challenges and perspectives
  • Includes supplementary material: sn.pub/extras

Part of the book series: Translational Bioinformatics (TRBIO, volume 4)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-vi
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  2. Bioinformatics for Complex Diseases: The Basics

    1. Front Matter

      Pages 1-1
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    2. Molecular Diagnostic Techniques

      • Feng Guo
      Pages 3-16

    3. Identifying Biomarkers with Differential Analysis

      • Xing-Ming Zhao, Guimin Qin
      Pages 17-31

    4. Identifying Driver Mutations in Cancer

      • Jack P. Hou, Jian Ma
      Pages 33-56

    5. Biomarker Discovery with Text Mining and Literature Based Discovery

      • Fei Zhu, Bairong Shen
      Pages 57-78

    6. Protein Binding Interfaces and Their Binding Hot Spot Prediction: A Survey

      • Qian Liu, Jinyan Li
      Pages 79-106

  3. Network Based Diagnosis of Complex Diseases

    1. Front Matter

      Pages 107-107
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    2. Systems Biology Studies of Gene Network and Cell Signaling Pathway in Cancer Research

      • Junbai Wang, Ben Davidson, Tianhai Tian
      Pages 109-129

    3. A Network Systems Approach to Identify Functional Epigenetic Drivers in Cancer

      • Andrew E. Teschendorff, Martin Widschwendter
      Pages 131-152

    4. Identification of Cancer MicroRNA Biomarkers Based on miRNA–mRNA Network

      • Wenyu Zhang, Bairong Shen
      Pages 153-167

  4. Applications in Detection and Treatment of Complex Diseases

    1. Front Matter

      Pages 169-169
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    2. Ubiquitin and Ubiquitin-Like Conjugations in Complex Diseases: A Computational Perspective

      • Tianshun Gao, Zexian Liu, Yongbo Wang, Yu Xue
      Pages 171-187

    3. Identification of Biomarkers for Pharmacological Activity

      • Guang Hu, Yuqian Li, Bairong Shen
      Pages 189-205

    4. Network Biomarkers for Diagnosis and Prognosis of Human Prostate Cancer

      • Jiajia Chen, Bairong Shen
      Pages 207-220
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Keywords

About this book

The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.

Editors and Affiliations

  • Center for Systems Biology, Soochow University, Suzhou, People's Republic of China

    Bairong Shen

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