Litcius/Paper detail

ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network

Tinghe Zhang, Mario Flores, Yufei Huang

2021Analytical Biochemistry21 citationsDOI

Topics & Concepts

EnhancerConvolutional neural networkComputer scienceResidualArtificial neural networkComputational biologyData miningTranscription factorPattern recognition (psychology)Machine learningArtificial intelligenceBiologyAlgorithmGeneGeneticsGenomics and Chromatin DynamicsMachine Learning in BioinformaticsGenomics and Phylogenetic Studies
ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network | Litcius