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 Engineering Principles for Electrical Technicians by Jingyu Hou
Cover of the book Fundamentals of Molecular Catalysis by Jingyu Hou
Cover of the book Neurotrophic Factors by Jingyu Hou
Cover of the book Vehicular Communications and Networks by Jingyu Hou
Cover of the book Stochastic Transport in Complex Systems by Jingyu Hou
Cover of the book Molecular Tools and Infectious Disease Epidemiology by Jingyu Hou
Cover of the book Doing Business Successfully in China by Jingyu Hou
Cover of the book Phasor Measurement Units and Wide Area Monitoring Systems by Jingyu Hou
Cover of the book Handbook of Technical Textiles by Jingyu Hou
Cover of the book Mobile Robotics by Jingyu Hou
Cover of the book Programming Massively Parallel Processors by Jingyu Hou
Cover of the book A Workbook of Ethical Case Scenarios in Applied Behavior Analysis by Jingyu Hou
Cover of the book Polymer Composites with Functionalized Nanoparticles by Jingyu Hou
Cover of the book Naturally Occurring Bioactive Compounds by Jingyu Hou
Cover of the book Pediatric Orthopedic Deformities 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