Bioinformatics | Genomics GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. January 23, 2024
Bioinformatics | Structural Biology Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. September 25, 2023
Bioinformatics | Cell Biology | Genomics TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. April 20, 2023
Bioinformatics | Computational Biology | Genetics Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding. September 1, 2022
Bioinformatics | Genomics | Molecular Biology MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. October 19, 2021
Bioinformatics | Computational Biology | Proteomics Improving protein fold recognition using triplet network and ensemble deep learning. July 6, 2021
Bioinformatics | Genetics | Molecular Biology SAResNet: self-attention residual network for predicting DNA-protein binding. April 10, 2021