Topological Data Analysis for Genomics and Evolution
Topological Data Analysis for Genomics and Evolution Biology has entered the age of Big Data. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors…
Specifikacia Topological Data Analysis for Genomics and Evolution
Topological Data Analysis for Genomics and Evolution
Biology has entered the age of Big Data. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge.
Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. 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
SQL for Data Analysis
Data Analysis
Data Analysis