  | Book Details Title: Topological Data Analysis for Genomics and Evolution: Topology in Biology |
Book DescriptionReview ‘The time is right to bring new approaches to the analysis of biological data. Topological data analysis reveals the structure of data. This book shows how algebraic topology opens new doors, presenting ideas and directions that make testable predictions and explore life processes.’ Arnold J. Levine, Institute for Advanced Study, New Jersey’This fascinating book describes how advances in mathematics, especially in fields such as topology, are transforming our understanding of biology. Rabadan, one of the founders of the field, shows us how the evolution of cancer, and of viruses and bacteria, can be deeply understood through these novel mathematical techniques. Rabadan’s capacity to create a synthesis of many threads, and lay out future challenges, makes this an intriguing and compelling read.’ Siddhartha Mukherjee, Columbia University Medical Center, New York and author of The Gene: An Intimate History and The Emperor of All Maladies: A Biography of Cancer’This is a very important work that shows the way to applications of topological data analysis in genomics. It should be studied carefully by anyone working on the biomedical applications of topological data analysis.’ Gunnar Carlsson, Stanford University, California’This is an important book. Modern experimental biology produces large amounts of data and of many disparate types, requiring new methods of analysis. In explaining biology to mathematicians and data scientists, and subtle new statistical analyses based on the flexible form of geometry called topology to biologists, carefully and clearly, without sacrificing accuracy, the authors have written a unique book that is cutting edge, truly interdisciplinary, and a resource for both communities. I found it fascinating, and will insist that my students read it.’ Shmuel Weinberger, Andrew MacLeish Distinguished Service Professor of Mathematics, University of Chicago Read more Book Description Algebraic topology is particularly suited for the analysis of high dimensional large data sets, including those in modern biology. The book introduces geometric and topological methods, including statistics, as well as applications to biology – including cancer genetics, single cell studies and reconstructing evolutionary relationships from genomic data. Read more Customers Review: This is a must book for anyone interested in topology and its applications to genomics, evolution, biology and beyond. The authors did a great job simplifying complex ideas making the subject accessible to wide audiences with some mathematical background. The combination of theory with applied research in this book make it particularly enjoyable. As a data scientist, I found the book eye-opening and would highly recommend it. | |
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