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Bioinformatics for diagnosis, prognosis and treatment of complex diseases / [edited by] Bairong Shen.

Contributor(s): Material type: TextTextSeries: Translational bioinformatics ; v 4.Publication details: New York : Springer, 2013.Description: vi, 220 p. : illustrations (some color) ; 24 cmISBN:
  • 9789400779747
Subject(s): DDC classification:
  • 570.285 23 Sh546
Contents:
Part I: Bioinformatics for complex diseases: the basics -- Part II: Network based diagnosis of complex diseases -- Part III: Applications in Detection and Treatment of Complex Diseases.
Summary: 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.
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Includes bibliographical references.

Part I: Bioinformatics for complex diseases: the basics --
Part II: Network based diagnosis of complex diseases --
Part III: Applications in Detection and Treatment of Complex Diseases.

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.

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