Classification of Cancerous Profiles using Machine Learning
There are variety of options available for cancertreatment. The type of treatment recommended for an individual is influenced by various factors such as cancer-type, the severityof cancer (stage) and most important the genetic heterogeneity. Insuch a complex environment, the targeted drug treatments arelikely to be irresponsive or respond differently. To study anticancerdrug response we need to understand cancerous profiles.These cancerous profiles carry information which can reveal theunderlying factors responsible for cancer growth. Hence, there isneed to analyze cancer data for predicting optimal treatmentoptions. Analysis of such profiles can help to predict and discoverpotential drug targets and drugs. In this paper the main aim is toprovide machine learning based classification technique forcancerous profiles.