Topological Data Analysis for Genomics and Evolution
Raul Rabadan, Andrew J. Blumberg
Language: English
Published by Cambridge University Press, GB, 2019
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 63.51
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Add to basketItem description from seller
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.…
Seller Inventory # LU-9781107159549
- Title
- Topological Data Analysis for Genomics and Evolution
- Author
- Raul Rabadan, Andrew J. Blumberg
- Publisher
- Cambridge University Press, GB
- Publication year
- 2019
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1107159547
- ISBN 13
- 9781107159549
- Item weight
- 1,120 grams
"Synopsis" may belong to another edition of this title.
About the Author
Andrew J. Blumberg is a Professor in the Department of Mathematics at the University of Texas, Austin. He completed his Ph.D. at the University of Chicago under the supervision of Peter May and Michael Mandell, and was later a National Science Foundation postdoctoral fellow at Stanford University, California. He also spent a year as a member at the Institute for Advanced Study (IAS), Princeton, New Jersey. His pure mathematics research focuses primarily on homotopy theory and algebraic topology and his applied research focuses on the development of topological and geometric techniques for studying genomic data.
"About the title" may belong to another edition of this title.
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