New Approaches of Protein Function Prediction from Protein Interaction Networks

Nonfiction, Science & Nature, Mathematics, Applied, Computers
Cover of the book New Approaches of Protein Function Prediction from Protein Interaction Networks by Jingyu Hou, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jingyu Hou ISBN: 9780128099445
Publisher: Elsevier Science Publication: January 13, 2017
Imprint: Academic Press Language: English
Author: Jingyu Hou
ISBN: 9780128099445
Publisher: Elsevier Science
Publication: January 13, 2017
Imprint: Academic Press
Language: English

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks.

Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.

  • Provides innovative approaches and new developments targeting key issues in protein function prediction
  • Presents heuristic ideas for further research in this challenging area
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks.

Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.

More books from Elsevier Science

Cover of the book Adolescent Dating Violence by Jingyu Hou
Cover of the book Ludwig's Applied Process Design for Chemical and Petrochemical Plants by Jingyu Hou
Cover of the book Ordinary Differential Equations by Jingyu Hou
Cover of the book Non-Self-Adjoint Boundary Eigenvalue Problems by Jingyu Hou
Cover of the book Materials for Sustainable Energy by Jingyu Hou
Cover of the book Effects of Low Dose and Low Dose Rate Radiation by Jingyu Hou
Cover of the book Cellular and Molecular Neurophysiology by Jingyu Hou
Cover of the book Hybrid Ship Hulls by Jingyu Hou
Cover of the book Microbiology of Atypical Environments by Jingyu Hou
Cover of the book Understanding Biocorrosion by Jingyu Hou
Cover of the book Sustainable Water and Wastewater Processing by Jingyu Hou
Cover of the book Psychology of Learning and Motivation by Jingyu Hou
Cover of the book Reaction Kinetics and the Development and Operation of Catalytic Processes by Jingyu Hou
Cover of the book Fish Physiology: Hypoxia by Jingyu Hou
Cover of the book Advances in Renewable Energies and Power Technologies by Jingyu Hou
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy