© 2013

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

  • Bairong Shen

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

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Feng Guo
      Pages 3-16
    3. Xing-Ming Zhao, Guimin Qin
      Pages 17-31
    4. Jack P. Hou, Jian Ma
      Pages 33-56
  3. Network Based Diagnosis of Complex Diseases

    1. Front Matter
      Pages 107-107
    2. Andrew E. Teschendorff, Martin Widschwendter
      Pages 131-152
  4. Applications in Detection and Treatment of Complex Diseases

    1. Front Matter
      Pages 169-169
    2. Tianshun Gao, Zexian Liu, Yongbo Wang, Yu Xue
      Pages 171-187
    3. Guang Hu, Yuqian Li, Bairong Shen
      Pages 189-205

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.


Bioinformatics Biomarker Discovery Complex Diseases Personalized Cancer Therapy systems diagnostics

Editors and affiliations

  • Bairong Shen
    • 1
  1. 1.Center for Systems BiologySoochow UniversitySuzhouPeople's Republic of China

Bibliographic information