Machine Learning Provides New Insights Into Cellular Biology

Machine Learning Provides New Insights Into Cellular Biology

Source: Cockrell School of Engineering, The University of Texas at Austin

New study unravels mechanistic insights into how cells respond to their environment.

In a new interdisciplinary study, a team of engineers led by The University of Texas at Austin have used machine learning technology in tandem with next-generation RNA sequencing to reveal the inner workings of cells and how they respond to environmental stress, particularly by focusing on RNAs, to provide new insights into biology at the molecular level.

Lydia Contreras in the lab.Lydia Contreras, associate professor in the McKetta Department of Chemical Engineering in the Cockrell School of Engineering, along with collaborators from Princeton University and The Ohio State University, developed a sensing technique to allow for identification and targeting of regions within the cellular RNAs where key functions and chemical reactions occur. Read entire article…

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