Genetics | Synthetic Biology Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificity. June 25, 2024
Bioinformatics | Genetics DeepRegFinder: deep learning-based regulatory elements finder. February 12, 2024
Bioinformatics | Genomics EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networks. January 8, 2024
Developmental Biology | Genetics Targeted design of synthetic enhancers for selected tissues in the Drosophila embryo. December 12, 2023
Bioinformatics | Computational Biology | Genomics Integrative approaches based on genomic techniques in the functional studies on enhancers. December 4, 2023
Bioinformatics | Computational Biology iEnhancer-DCSA: identifying enhancers via dual-scale convolution and spatial attention. July 13, 2023
Bioinformatics | Genomics A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome. April 6, 2023
Bioinformatics | Genomics Sequence characteristics and an accurate model of high-occupancy target loci in the human genome. March 22, 2023
Genetics | Neurology De novo human brain enhancers created by single-nucleotide mutations. February 15, 2023
Bioinformatics | Genomics | Molecular Biology A Deep Learning Based Two-layer Predictor to Identify Enhancers and Their Strength. February 5, 2023
Genetics | Neurology Deep learning predicts the impact of regulatory variants on cell-type-specific enhancers in the brain. February 2, 2023