How Does Deep Learning Assist in Genomic Analysis?
Deep learning can analyze genomic sequences to identify mutations and other genetic markers associated with cancer. Techniques such as recurrent neural networks (RNNs) and deep generative models are used to analyze complex genomic data, helping researchers to understand the genetic basis of cancer and identify potential targets for new therapies.
