Litcius/Paper detail

Improving representations of genomic sequence motifs in convolutional networks with exponential activations

Peter K. Koo, Matt Ploenzke

2021Nature Machine Intelligence85 citationsDOIOpen Access PDF

Topics & Concepts

InterpretabilityConvolutional neural networkComputer scienceArtificial intelligenceRobustness (evolution)Exponential growthSequence motifMachine learningPattern recognition (psychology)MathematicsBiologyDNAGeneticsGeneMathematical analysisGenomics and Chromatin DynamicsRNA and protein synthesis mechanismsRNA Research and Splicing
Improving representations of genomic sequence motifs in convolutional networks with exponential activations | Litcius