Showing posts with label Computational. Show all posts
Showing posts with label Computational. Show all posts
Tuesday, March 26, 2013

Computational Toxicology

Computational Toxicology



Author:
Edition: 2013
Publisher: Humana Press
Binding: Hardcover
ISBN: 1627030492



Computational Toxicology: Volume I (Methods in Molecular Biology)


Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. Medical books Computational Toxicology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics Medical books Computational Toxicology: Risk Assessment For Pharmaceutical And Environment. Store Search search Title, ISBN and Author Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals by Ekins Estimated delivery 3-12 business days Format Hardcover Condition Brand New A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted us

download button

Download link for Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals (Wiley Series on Technologies for the Pharmaceutical Industry)

Store Search search Title, ISBN and Author Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals by Ekins Estimated delivery 3-12 business days Format Hardcover Condition Brand New A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted us

Computational Toxicology HUMAC 9781627030588 09781627030588

format hardback language english publication year 03 08 2007 series wiley series on technologies for the pharmaceutical industry subject medicine subject 2 clinical medicine professional title computational toxicology risk assessment for pharmaceutical and environmental chemicals author ekins sean publisher wiley interscience publication date jun 07 2007 pages 830 binding hardcover edition 1 st dimensions 6 50 wx 9 50 hx 1 75 d isbn 0470049626 subject science chemistry industrial technical des

Electronics Cameras Computers Software Housewares Sports DVDs Music Books Games Toys in titles descriptions Company Info |Checkout Info |Shipping Info |Return Policy |FAQ's Add us as a favorite seller By continuing with your purchase using the eBay Buy It Now button, you agree to the Buy Terms of Use at http://stores.ebay.com/Buys-Internet-Superstore/Terms.html . Computational Toxicology - Reisfeld, Brad (EDT)/ Mayeno, Arthur N. (EDT)THIS IS A BRAND NEW UNOPENED ITEM. Buy SKU: 231163306 If you



Medical Book Computational Toxicology



These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics.  The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular Biology™ series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting. Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.

download
Saturday, January 12, 2013

Introduction to Computational Proteomics

Introduction to Computational Proteomics



Author: Golan Yona
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584885556



Introduction to Computational Proteomics (Chapman & Hall/CRC Mathematical & Computational Biology)


Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. Medical books Introduction to Computational Proteomics . The book starts with the analysis of individual entities and works its way through the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks.

The first part of the book presents methods for identifying the building blocks of the protein space, such as motifs and domains. It also describes algorithms for assessing similarity between proteins based on sequence and structure analysis as well as mathematical models, such as hidden Markov models and support vector machines, that are used to represent protein families and classify new instances.

The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms, such as clustering and embedding Medical books Introduction To Computational Proteomics. This book is written by Anonymous Published by CRC Press In 2010 and is available in Hardback POD will be shipped in 12 Days.

download button

Download link for Introduction To Computational Proteomics By Golan Yona Hardcover Book (engli

This book is written by Anonymous Published by CRC Press In 2010 and is available in Hardback POD will be shipped in 12 Days.

"This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and proceeds to the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein familiesand classifying new instances. The second part covers methods that investigate higher order

Contributors: Golan Yona - Author. Format: Hardcover

Contributors: Golan Yona - Author. Format: Hardcover



Medical Book Introduction to Computational Proteomics



The book starts with the analysis of individual entities and works its way through the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks.

The first part of the book presents methods for identifying the building blocks of the protein space, such as motifs and domains. It also describes algorithms for assessing similarity between proteins based on sequence and structure analysis as well as mathematical models, such as hidden Markov models and support vector machines, that are used to represent protein families and classify new instances.

The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms, such as clustering and embedding. The book also explores the broader context of proteins. It discusses methods for analyzing gene expression data, predicting protein-protein interactions, elucidating cellular pathways, and reconstructing gene networks.

This book provides a coherent and thorough introduction to proteome analysis. It offers rigorous, formal descriptions, along with detailed algorithmic solutions and models. Each chapter includes problem sets from courses taught by the author at Cornell University and the Technion. Software downloads, data sets, and other material are available at biozon.org



download
Wednesday, May 30, 2012

A Computational Approach to Statistical Arguments in Ecology and Evolution

A Computational Approach to Statistical Arguments in Ecology and Evolution



Author: George F. Estabrook
Edition: 1
Publisher: Cambridge University Press
Binding: Hardcover
ISBN: 1107004306



A Computational Approach to Statistical Arguments in Ecology and Evolution


Scientists need statistics. Medical books A Computational Approach to Statistical Arguments in Ecology and Evolution. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed Medical books A Computational Approach to Statistical Arguments in Ecology and Evolution. Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their own research. isbn13: 9781107004306

download button

Download link for A Computational Approach To Statistical Arguments In Ecology And Evolution Geor…

Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can

Ideal for researchers who want to take control of their own statistical arguments, this book teaches powerful computational methods to test hypotheses without the constraints and sophisticated mathematics of classical statistics. Examples of spreadsheet macros and real world applications are provided throughout to illustrate the concepts and techniques described.

Ideal for researchers who want to take control of their own statistical arguments, this book teaches powerful computational methods to test hypotheses without the constraints and sophisticated mathematics of classical statistics. Examples of spreadsheet macros and real world applications are provided throughout to illustrate the concepts and techniques described.

Ideal for researchers who want to take control of their own statistical arguments, this book teaches powerful computational methods to test hypotheses without the constraints and sophisticated mathematics of classical statistics. Examples of spreadsheet macros and real world applications are provided throughout to illustrate the concepts and techniques described.



Medical Book A Computational Approach to Statistical Arguments in Ecology and Evolution



Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their own research.

download
Tuesday, April 17, 2012

Computational Methods for Genetics of Complex Traits, Volume 72 Epub

Computational Methods for Genetics of Complex Traits, Volume 72



Author:
Edition: 1
Publisher: Academic Press
Binding: Hardcover
ISBN: 0123808626



Computational Methods for Genetics of Complex Traits, Volume 72 (Advances in Genetics)


The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. Medical books Computational Methods for Genetics of Complex Traits, Volume 72 . Medical books Computational Methods For Genetics Of Complex Traits: Vol 72. New Hardcover.

download button

Download link for Computational Methods For Genetics Of Complex Traits: Vol 72 Friedmann, Theodore

New Hardcover.

"The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.File Size: 1249 KBPrint Length: 210 pagesPublisher: Academic Press; 1 edi

"The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.File Size: 1249 KBPrint Length: 210 pagesPublisher: Academic Press; 1 edi

"The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.File Size: 1249 KBPrint Length: 210 pagesPublisher: Academic Press; 1 edi



Medical Book Computational Methods for Genetics of Complex Traits, Volume 72



This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.

The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.

download
Monday, January 23, 2012

Computational Cancer Biology

Computational Cancer Biology



Author: Mathukumalli Vidyasagar
Edition: 2012
Publisher: Springer
Binding: Paperback
ISBN: 1447147502



Computational Cancer Biology: An Interaction Network Approach (SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in Control, Automation and Robotics)


This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. Medical books Computational Cancer Biology.
Thursday, February 24, 2011

Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and ... MethodsVolume IV

Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and ... MethodsVolume IV



Author:
Edition: 2002
Publisher: Springer
Binding: Hardcover
ISBN: 1402071108



Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and ... MethodsVolume IV: Diagnostic Methods (Vol 1)


The cross-disciplinary pursuits between modern technology, their computations and applications to the human body have exploded because of rapid developments in computer technology and mathematical computational techniques. Medical books Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and ... MethodsVolume IV. This four-volume set, Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, represents the first multi-volume treatment of this significant subject on the international scene Medical books Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and...Methodsvolume IV: Diagnostic Methods (Vol 1).

download button

Download link for Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and...Methodsvolume IV: Diagnostic Methods (Vol 1)





Medical Book Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems: Algorithm Development, Mathematical Analysis and ... MethodsVolume IV


  • ISBN13: 9781402071102
  • Condition: New
  • Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

This four-volume set, Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, represents the first multi-volume treatment of this significant subject on the international scene. The work is an indispensable reference source by leading researchers, and is essential reference work for academics, practitioners, students and researchers working with: *Computers in Medicine, *Science and Mathematics in Biomaterials, Biomechanics and Bioengineering, *Computational Biophysics.

download