Rensselaer Researcher Helps Scientists Make Sense of Vast Amounts of Molecular Data
January 8, 2024
Thanks to technological advances, scientists have access to vast amounts of data, but in order to put it to work and draw conclusions, they need to be able to process it. In research recently published in Genome Biology, Rensselaer Polytechnic Institute’s Boleslaw Szymanski, Ph.D., Claire and Roland Schmitt Distinguished Professor of Computer Science and director of the Network Science and Technology Center, and team have found a method that effectively organizes and groups the data for a variety of applications. The process is referred to as clustering in machine learning.