Breakthrough Technique Calculates Gene Regulation at the Single-Cell Level Using Deep-Learning
A new technique has been developed that is expected to advance our knowledge of numerous underlying biological processes, including those implicated in complex diseases like cancer. Using machine learning —a form of artificial intelligence— scientists can predict gene regulation at the cellular level – a process that, before now, has been nearly impossible to do accurately. An important goal in epigenetic research is to identify regions in the genome that are vulnerable to molecular factors that can alter gene expression [more…]
