Handbook of Machine Learning Applications for Genomics

Book Overview

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...

• Format: Paperback
• Language: English
• ISBN: 9811691606
• ISBN13: 9789811691607
• Release Date: June 2023
• Publisher: Springer
• Length: 218 Pages
• Weight: 0.72 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"