Mathematical Biophysics (Biological and Medical Physics, Biomedical Engineering)
ISBN-13:
9781489977830
ISBN-10:
148997783X
Edition:
Softcover reprint of the original 1st ed. 2014
Author:
Andrew Rubin, Galina Riznichenko
Publication date:
2016
Publisher:
Springer
Format:
Paperback
288 pages
Category:
Bioinformatics
,
Biological Sciences
,
Molecular Biology
,
Evolution
,
Biophysics
,
Physics
,
Physical & Theoretical
,
Chemistry
,
General & Reference
FREE US shipping
Book details
ISBN-13:
9781489977830
ISBN-10:
148997783X
Edition:
Softcover reprint of the original 1st ed. 2014
Author:
Andrew Rubin, Galina Riznichenko
Publication date:
2016
Publisher:
Springer
Format:
Paperback
288 pages
Category:
Bioinformatics
,
Biological Sciences
,
Molecular Biology
,
Evolution
,
Biophysics
,
Physics
,
Physical & Theoretical
,
Chemistry
,
General & Reference
Summary
Mathematical Biophysics (Biological and Medical Physics, Biomedical Engineering) (ISBN-13: 9781489977830 and ISBN-10: 148997783X), written by authors
Andrew Rubin, Galina Riznichenko, was published by Springer in 2016.
With an overall rating of 4.1 stars, it's a notable title among other
Bioinformatics
(Biological Sciences, Molecular Biology, Evolution, Biophysics, Physics, Physical & Theoretical, Chemistry, General & Reference) books. You can easily purchase or rent Mathematical Biophysics (Biological and Medical Physics, Biomedical Engineering) (Paperback) from BooksRun,
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Bioinformatics
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Description
This book presents concise descriptions and analysis of the classical and modern models used in mathematical biophysics. The authors ask the question "what new information can be provided by the models that cannot be obtained directly from experimental data?" Actively developing fields such as regulatory mechanisms in cells and subcellular systems and electron transport and energy transport in membranes are addressed together with more classical topics such as metabolic processes, nerve conduction and heart activity, chemical kinetics, population dynamics, and photosynthesis. The main approach is to describe biological processes using different mathematical approaches necessary to reveal characteristic features and properties of simulated systems. With the emergence of powerful mathematics software packages such as MAPLE, Mathematica, Mathcad, and MatLab, these methodologies are now accessible to a wide audience.
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