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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical)

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Topological Data Analysis for Genomics and Evolution - Topology in Biology (Hardcover) Loot Price: R1,343
Discovery Miles 13 430
Topological Data Analysis for Genomics and Evolution - Topology in Biology (Hardcover): Raul Rabadan, Andrew J. Blumberg

Topological Data Analysis for Genomics and Evolution - Topology in Biology (Hardcover)

Raul Rabadan, Andrew J. Blumberg

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Loot Price R1,343 Discovery Miles 13 430 | Repayment Terms: R126 pm x 12*

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Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolutionary biology as well as mathematicians interested in applied topology.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: December 2019
Authors: Raul Rabadan • Andrew J. Blumberg
Dimensions: 252 x 178 x 28mm (L x W x T)
Format: Hardcover
Pages: 324
ISBN-13: 978-1-107-15954-9
Categories: Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN: 1-107-15954-7
Barcode: 9781107159549

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