Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture
Siguo Wang, Qinhu Zhang, Zhen Shen, Ying He, Zhen-Heng Chen, Jianqiang Li, De-Shuang Huang
Abstract
datasets derived from universal protein binding microarrays (uPBMs) shows that our proposed method CRPTS obviously outperforms the state-of-the-art methods.
Topics & Concepts
Transcription factorDNA binding siteArchitectureComputational biologyComputer scienceFactor (programming language)Deep learningArtificial intelligenceComputer architectureBiologyGeneticsPromoterGeneGeographyGene expressionProgramming languageArchaeologyGenomics and Chromatin DynamicsMachine Learning in BioinformaticsRNA and protein synthesis mechanisms