News From the Field
Machine learning provides new insights into cellular biology
October 4, 2018
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.A new, interdisciplinary study at the University of Texas at Austin, funded by the National Science Foundation, has provided insights into how cells respond to their environments. The study used machine learning technology in tandem with next-generation RNA sequencing to reveal the inner workings of cells. Full Story
University of Texas at Austin
The U.S. National Science Foundation propels the nation forward by advancing fundamental research in all fields of science and engineering. NSF supports research and people by providing facilities, instruments and funding to support their ingenuity and sustain the U.S. as a global leader in research and innovation. With a fiscal year 2020 budget of $8.3 billion, NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and institutions. Each year, NSF receives more than 40,000 competitive proposals and makes about 11,000 new awards. Those awards include support for cooperative research with industry, Arctic and Antarctic research and operations, and U.S. participation in international scientific efforts.