Bioinformatics | Computational Biology scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data. February 17, 2024
Bioinformatics | Computational Biology | Proteomics Hierarchical Graph Transformer with Contrastive Learning for Protein Function Prediction. June 27, 2023
Bioinformatics | Computational Biology | Drug Development QuoteTarget: A sequence-based transformer protein language model to identify potentially druggable protein targets. December 24, 2022
Bioinformatics | Genomics Clustering CITE-seq data with a canonical correlation-based deep learning method. September 8, 2022
Bioinformatics | Cell Biology | Computational Biology | Genomics scNAME: Neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data. January 9, 2022
Bioinformatics | Computational Biology | Genomics scMRA: A robust deep learning method to annotate scRNA-seq data with multiple reference datasets. October 8, 2021
Bioinformatics | Genomics Deep soft -means clustering with self-training for single-cell RNA sequence data. February 12, 2021
Bioinformatics | Computational Biology | Genomics Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-Seq Data. May 14, 2020
Bioinformatics | Computational Biology | Genomics Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm. May 4, 2020
Bioinformatics | Genetics Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding. December 11, 2019
Bioinformatics | Structural Biology Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. October 30, 2019
Other Expectation pooling: An effective and interpretable pooling method for predicting DNA-protein binding. October 10, 2019