Machine Learning Applications in Anti-cancer Drug Discovery

Abstract

AbstractThe availability of a large amount of genome sequencing, bioinformatics, chemoinformatics, and pharmaceutical data has boosted the research in the field of computational drug discovery. Researchers are trying their hard to fight against various genetic diseases like cancer. Artificial intelligence, machine learning, and deep learning are some of the most popularly used tools to analyze healthcare datasets. Here in this book chapter, we have conducted an exhaustive survey on machine learning applications in anti-cancer drug discovery. Researchers have used the machine learning capabilities in diverse domains such as biomarker identification, cancer classification, and drug-ytarget identification. We have briefly summarized the already existing literature in the field of oncology using machine learning.KeywordsCancer classificationDrug synergyDrug responseCancer biomarkersGene expressionMachine learning