Review on Artificial Intelligence Based Techniques for Gene-Expression by Tumor RNA-SEQ Data | Original Article

ABSTRACT:

Human intelligence is needed or required byArtificial Intelligence (AI), or the development of computational algorithms that is successful in performing tasks that would’ve used human intelligence instead, helps in creating opportunities for improving our ideology and delivery of precision medication. Here, large-scale RNA-sequencing datasets in cancer are provided in this article as an overview of artificial intelligence approaches for of this analysis. Major Solutions for disentangle inter- and intra-tumor heterogeneity of transcript me profiles are displayed here for improving patient’s management effectively. In this articlewe also outline the contributions that have been made by learning algorithms to the needs of cancerGenomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.