Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have uncovered experimental evidence that particles of matter emerging from energetic subatomic smashups retain a key feature of virtual particles that exist only fleetingly in…
PARM is a deep-learning model trained on data from massively parallel reporter assays to help predict promoter activity in different human cell types, design synthetic promoters and identify key features of regulatory promoter grammar.