Machine learning and systems biology in genomics and health / Shailza Singh, editor.

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health c...

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Bibliographic Details
Other Authors: Singh, Shailza (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2022]
Subjects:
Online Access:Click for online access
Table of Contents:
  • Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing
  • Chapter2- Big data in drug discovery
  • Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine
  • Chapter 4-Machine Learning in Genomics
  • Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics?
  • Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets
  • Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis
  • Chapter 8-Artificial Intelligence in Biomedical Image Processing
  • Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.