HIGHLIGHTS
- who: Colin Targonski from the Clemson University, Clemson, SC, USA have published the paper: Cellular State Transformations Using Deep Learning for Precision Medicine Applications, in the Journal: (JOURNAL) of September/11,/2020
- what: The authors propose a novel deep-learning tool that can be used to process samples of RNA-sequencing data. By applying the Transcriptome State Perturbation Generator to human samples the authors show that deep learning derives insight into the gene expression shifts required for transition between two biological conditions (e_g normal versus tumor). The authors demonstrate that the application of TSPG to . . .
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