Biological Computation

Biological Computation
Author: Ehud Lamm
Publisher: CRC Press
Total Pages: 332
Release: 2011-05-25
Genre: Mathematics
ISBN: 1420087967

Download Biological Computation Book in PDF, Epub and Kindle

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book


Biological Computation
Language: en
Pages: 332
Authors: Ehud Lamm
Categories: Mathematics
Type: BOOK - Published: 2011-05-25 - Publisher: CRC Press

GET EBOOK

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult com
Introduction to Computational Biology
Language: en
Pages: 456
Authors: Michael S. Waterman
Categories: Mathematics
Type: BOOK - Published: 2018-05-02 - Publisher: CRC Press

GET EBOOK

Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of info
A Primer for Computational Biology
Language: en
Pages: 0
Authors: Shawn T. O'Neil
Categories: Science
Type: BOOK - Published: 2017-12-21 - Publisher:

GET EBOOK

A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessin
Kernel Methods in Computational Biology
Language: en
Pages: 428
Authors: Bernhard Schölkopf
Categories: Computers
Type: BOOK - Published: 2004 - Publisher: MIT Press

GET EBOOK

A detailed overview of current research in kernel methods and their application to computational biology.
Computational Systems Biology of Cancer
Language: en
Pages: 463
Authors: Emmanuel Barillot
Categories: Science
Type: BOOK - Published: 2012-08-25 - Publisher: CRC Press

GET EBOOK

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematic