Handbook Of Machine Learning Applications For Genomics
Download Handbook Of Machine Learning Applications For Genomics full books in PDF, epub, and Kindle. Read online free Handbook Of Machine Learning Applications For Genomics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Handbook of Machine Learning Applications for Genomics
Author | : Sanjiban Sekhar Roy |
Publisher | : Springer Nature |
Total Pages | : 222 |
Release | : 2022-06-23 |
Genre | : Technology & Engineering |
ISBN | : 9811691584 |
Download Handbook of Machine Learning Applications for Genomics Book in PDF, Epub and Kindle
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
Handbook of Machine Learning Applications for Genomics Related Books
Pages: 222
Pages: 462
Pages: 239
Pages: 218
Pages: 707