Integrative Bioinformatics For Biomedical Big Data

Download Integrative Bioinformatics For Biomedical Big Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Integrative Bioinformatics For Biomedical Big Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Integrative Bioinformatics for Biomedical Big Data

Author: Xiuzhen Huang
language: en
Publisher: Cambridge University Press
Release Date: 2023-09-28
Explains the value of no-boundary thinking (NBT) in biological and biomedical research in helping to define impactful research questions.
Integrative Bioinformatics for Biomedical Big Data

Author: Xiuzhen Huang
language: en
Publisher: Cambridge University Press
Release Date: 2023-09-28
The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput sequencing. Unfortunately, bioinformatics analysis is often considered only after data have been generated, which significantly limits the ability to make sense of complex big data. This unique book introduces the idea of No-Boundary Thinking (NBT) in biological and biomedical research, which aims to access, integrate, and synthesize data, information, and knowledge from bioinformatics to define important problems and articulate impactful research questions. This interdisciplinary volume brings together a team of bioinformatics specialists who draw on their own experiences with NBT to illustrate the importance of collaborative science. It will help stimulate discussion and application of NBT, and will appeal to all biomedical researchers looking to maximize their use of bioinformatics for making scientific discoveries.
Topological Data Analysis for Genomics and Evolution

Author: Raul Rabadan
language: en
Publisher: Cambridge University Press
Release Date: 2019-12-19
An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.