Cancer is gradually claiming more lives in the world than any other disease. There are many types of cancer that affects a human body such as lung, stomach, throat, and liver. In today’s scientific age, cancer research has made major technological breakthroughs in the areas of molecular sequencing, molecular and cellular imaging, and high-throughput screening techniques. Such techniques have resulted in the creation of an enormous number of datasets. The analysis of these datasets can be now possible with the help of automated machine learning to understand the disease better.
You can further refer to the following research paper and gain better understanding. This paper talks about the use of Python and GPUs toward the implementation of a workflow framework named CANDLE/Supervisor for machine learning...
