Malignancy Transcriptome Analysis, Tools and Deep Learning Methodologies for Prediction of Diseases

In the current era, cancer grabs many people, disturbing the family atmosphere to the core. There are mainly two reasons for the occurrence of this ailment, namely, lifestyle and the genetic factors behind the disorder. The alterations of genes could lead to cancer and even could be inherited to the next generation. Depending on the genetic composition, particular drugs are metabolized differently in each and every person's body. Stratified medicine could be given to patients for fast and effective recovery. Here comes the significance of genomic-related studies; and the machine learning technique contributes greatly towards automating the analysis plus prognosis. This paper presents a perspective on the genomics aspects of precision medicine and the role in respect to machine, deep learning research over bioinformatics as well as prediction about disease markers.