Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques
Book Citation Index

Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques

Huma Lodhi, Yoshihiro Yamanishi
Indexed In: SCOPUS View 2 More Indices
Release Date: July, 2010|Copyright: © 2011 |Pages: 418
DOI: 10.4018/978-1-61520-911-8
ISBN13: 9781615209118|ISBN10: 1615209115|EISBN13: 9781615209125
Hardcover:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$295.00
Benefits & Incentives
TOTAL SAVINGS: $295.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$295.00
Benefits & Incentives
TOTAL SAVINGS: $295.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
OnDemand:
(Individual Chapters)
Available
$37.50
Benefits & Incentives
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Effective immediately, IGI Global has discontinued softcover book production. The softcover option is no longer available for direct purchase.
Description & Coverage
Description:

Chemoinformatics is a scientific area that endeavours to study and solve complex chemical problems using computational techniques and methods.

Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques provides an overview of current research in machine learning and applications to chemoinformatics tasks. As a timely compendium of research, this book offers perspectives on key elements that are crucial for complex study and investigation.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Advanced PLS techniques in chemometrics
  • Bayesian statistics
  • Chemoinformatics on metabolic pathways
  • Compound-protein interactions with machine learning methods
  • Graph kernels for chemoinformatics
  • Graph mining in chemoinformatics
  • Machine leaning in drug discovery and development
  • Nonlinear partial least squares
  • Similarity fusion for virtual screening
  • Support Vector Machines
Reviews & Statements

The book presents cutting edge tools and strategies to solving problems in chemoinformatics. It explains key elements of the filed. Authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development and progress in the field of chemoinoformatics.

– Huma Lodhi (Imperial College, UK); Yoshihiro Yamanishi (Kyoto University, Japan)
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Huma Lodhi obtained her Ph.D. in computer science from University of London. She is a researcher with the department of Computing, Imperial College London. She has published in leading international journals, books, conference proceedings and has edited a volume Elements of Computational Systems Biology (Wiley Series in Bioinformatics), (2010) by Huma M Lodhi and Stephen H Muggleton (Editors), Wiley. Her research interests are machine learning and data mining and their application to tasks in bioinformatics, chemoinformatics and computation systems biology.
Yoshihiro Yamanishi is a faculty member at Centre for Computational Biology, Mines ParisTech, France. He is also a researcher in the department of Bioinformatics and Computational Systems Biology of Cancer, Mines ParisTech - Institut Curie - INSERM U900. He is working on statistics and machine learning for bioinformatics, chemoinformatics, and genomic drug discovery. He obtained his Ph.D in 2005 from Kyoto University in Japan. He was a post-doctoral research fellow at Center for Geostatistics, Ecole des Mines de Paris from 2005 to 2006. He was an assistant professor at Institute for Chemical Research, Kyoto University from 2006 to 2007.
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.