Bioinformatics | Genomics MMGAT: a graph attention network framework for ATAC-seq motifs finding. April 20, 2024
Bioinformatics | Computational Biology | Genomics GNNMF: a multi-view graph neural network for ATAC-seq motif finding. March 22, 2024
Bioinformatics | Computational Biology | Genomics Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism. August 20, 2023
Bioinformatics | Genetics Multi-batch single-cell comparative atlas construction by deep learning disentanglement. July 11, 2023
Bioinformatics | Genomics | Molecular Biology TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. September 12, 2022
Bioinformatics | Molecular Biology Base-resolution prediction of transcription factor binding signals by a deep learning framework. March 9, 2022
Bioinformatics | Cell Biology | Genomics CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data. December 13, 2021
Dermatology | Genetics | Oncology Analysis of long and short enhancers in melanoma cell states. December 7, 2021
Oncology | Pathology Integrative analysis of histopathological images and chromatin accessibility data for estrogen receptor-positive breast cancer. December 29, 2020