Cellular State Transformations Using Deep Learning for Precision Medicine Applications
Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melissa C. Smith, F. Alex Feltus
Abstract
), we present a novel technique of determining significant transcriptional aberrations that can be used to help identify potential targeted therapies.
Topics & Concepts
TranscriptomeComputational biologyGene expressionComputer sciencePrecision medicineGeneArtificial intelligenceBiologyGeneticsSingle-cell and spatial transcriptomicsCancer Genomics and DiagnosticsRNA Research and Splicing