Bioinformatics | Genetics | Neurology Single-cell multi-omics analysis reveals cooperative transcription factors for gene regulation in oligodendrocytes. July 1, 2024
Bioinformatics | Genetics DeepRegFinder: deep learning-based regulatory elements finder. February 12, 2024
Bioinformatics | Computational Biology | Genetics Advancing Transcription Factor Binding Site Prediction Using DNA Breathing Dynamics and Sequence Transformers via Cross Attention. January 31, 2024
Bioinformatics | Computational Biology | Genomics Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism. August 20, 2023
Bioinformatics | Computational Biology | Genomics DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks. July 13, 2023
Developmental Biology | Genetics | Neurology Deciphering transcription factors and their corresponding regulatory elements during inhibitory interneuron differentiation using deep neural networks. March 9, 2023
Bioinformatics | Genomics | Molecular Biology LanceOtron: a deep learning peak caller for genome sequencing experiments. July 22, 2022
Bioinformatics | Genomics | Oncology Deep learning for de-convolution of Smad2 versus Smad3 binding sites. July 20, 2022
Bioinformatics | Computational Biology | Genomics Machine learning methods for exploring sequence determinants of 3D genome organization. June 6, 2022
Bioinformatics | Computational Biology | Genomics Anomaly detection in genomic catalogues using unsupervised multi-view autoencoders. September 26, 2021
Bioinformatics | Computational Biology | Genetics Predicting transcription factor binding in single cells through deep learning. December 23, 2020
Bioinformatics | Genetics | Molecular Biology Learning useful representations of DNA sequences from ChIP-seq datasets for exploring transcription factor binding specificities. September 25, 2020