Machine Learning and Systems Biology in Genomics and Health

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 care regimes representing unique  challenges for data pre-processing, model training, refinement of the  systems with clinical implications. The book discusses different models  for in-depth analysis of different conditions. Machine Learning  techniques have revolutionized genomic analysis. Different chapters of  the book describe the role of Artificial Intelligence in clinical and  genomic diagnostics. It discusses how systems biology is exploited in  identifying the genetic markers for drug discovery and disease  identification. Myriad number of diseases whether be infectious,  metabolic, cancer can be dealt in effectively which combines the  different omics data for precision medicine. Major breakthroughs in the  field would help reflect more new innovations which are at their  pinnacle stage.
This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.