3 edition of **Theory and mathematical methods in bioinformatics** found in the catalog.

- 362 Want to read
- 28 Currently reading

Published
**2008**
by Springer in Berlin
.

Written in English

- Problems, exercises,
- Methods,
- Computational Biology,
- Bioinformatics,
- Mathematics,
- COMPUTERS,
- Theoretical Models

**Edition Notes**

Statement | Shiyi Shen, Jack A. Tuszynski |

Series | Biological and medical physics, biomedical engineering, Biological and medical physics, biomedical engineering |

Contributions | Tuszynski, J. A. |

Classifications | |
---|---|

LC Classifications | QH324.2 .S54 2008eb |

The Physical Object | |

Format | [electronic resource] / |

Pagination | 1 online resource (xvi, 445 p.) : |

Number of Pages | 445 |

ID Numbers | |

Open Library | OL25544376M |

ISBN 10 | 3540748911, 3540748903 |

ISBN 10 | 9783540748915, 9783540748908 |

OCLC/WorldCa | 233973499 |

The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and . Articles > Mathematics > Biostatistics > Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) Statistical Methods in Bioinformatics: An Introduction (Statistics .

Mathematical Methods in Engineering and Science Matrices and Linear Transformati Matrices Geometry and Algebra Linear Transformations Matrix Terminology Geometry and Algebra Operating File Size: 2MB. Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the Cited by:

"Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the . Information Theory, widely applied in molecular biology, has provided successful methods for alignment-free sequence analysis and comparison. Current applications include global Cited by:

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The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among Cited by: 5.

Mathematical methods that illuminate fundamental problems related to the genetic code and bioinformatics. Mathematics of Bioinformatics: Theory, Practice, and Applications provides a comprehensive blueprint for connecting and integrating information derived from mathematical methods Format: Hardcover.

Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the Manufacturer: Wiley-Interscience.

The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory.

Among Brand: Springer-Verlag Berlin Heidelberg. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among Price: $ "In Introduction to Mathematical Methods in Bioinformatics, Alexander Isaev describes the mathematical foundations of bioinformatics.

The book succeeds in describing the fundamental mathematics behind computational sequence analysis, and in giving a taste of typical applied bioinformatics. The number of examples presented in the book is excellent.

is a strong description of the theory behind the standard methods Cited by: "Introduction to Mathematical Methods in Bioinformatics introduces several basic topics in biological sequence analysis. This book is an excellent textbook for students majoring in biology, computer science, and, especially mathematics.

presents a clear and mathematically rigorous exposition of procedures, algorithms, and models commonly used in analyzing biological sequences. a splendid textbook for students with some mathematical.

The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main. Introduction to Mathematical Methods in Bioinformatics is a strong description of the theory behind the standard methods of computational sequence analysis.

It serves as. Advances in mathematical methods and techniques in bioinformatics have been growing rapidly. Mathematics has a fundamental role in describing the complexities of biological structures, patterns, and processes.

Mathematical analysis of structures of molecular systems has essential meaning for bioinfor-matics. About this book Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from.

Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the.

Theory and Mathematical Methods in Bioinformatics Shen, Shiyi; Tuszynski, Jack A. Abstract. Not Available. Publication: Theory and Mathematical Methods in Bioinformatics. Pub Date: Bibcode: Cited by: 5. Theory and Mathematical Methods in Bioinformatics (Biological and Medical Physics, Biomedical Engineering series) by Shiyi Shen.

The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory.

Among the methods presented in the book. "In Introduction to Mathematical Methods in Bioinformatics, Alexander Isaev describes the mathematical foundations of bioinformatics.

The book succeeds in describing the fundamental mathematics 5/5(1). Introduction to Mathematical Methods in Bioinformatics is a strong description of the theory behind the standard methods of computational sequence analysis. The book serves as a springboard for considering current bioinformatics research problems—such as the analysis of gene chip data—whose solutions entail a mixture of mathematics Cited by: 1.

Introduction to Mathematical Methods in Bioinformatics. Authors (view affiliations) Alexander Isaev; Textbook. 1 Search within book. Front Matter. Pages i-xiii. PDF. Sequence Analysis Phylogenetic Reconstruction. Pages Mathematical Background for Sequence Analysis. Front Matter. Pages PDF.

Elements of Probability Theory. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among. This series emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology.

Although the possible set of book topics is large, the following areas are particularly suitable for our book. The book is a very substantial and highly professional contribution to bioinformatics and applied statistics." MATHEMATICAL REVIEWS "This well-written textbook gives a survey of statistical, probabilistic and optimization methods that are used in bioinformatics.Get this from a library!

Introduction to mathematical methods in bioinformatics. [Alexander Isaev] -- "This book looks at the mathematical foundations of the models currently in use.

This is crucial for .Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the .