Bioinformatics | Computational Biology Unbiased Curriculum Learning Enhanced Global-Local Graph Neural Network for Protein Thermodynamic Stability Prediction. September 23, 2023
Bioinformatics | Computational Biology | Genomics DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data. September 23, 2023
Bioinformatics | Computational Biology | Genetics Integrating deep mutational scanning and low-throughput mutagenesis data to predict the impact of amino acid variants. September 18, 2023
Bioinformatics | Computational Biology | Genetics An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data. September 18, 2023
Bioinformatics | Computational Biology Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics. September 14, 2023
Computational Biology | Genetics Deep multiple-instance learning accurately predicts gene haploinsufficiency and deletion pathogenicity. September 11, 2023
Bioinformatics | Computational Biology | Systems Biology An introduction to representation learning for single-cell data analysis. September 6, 2023
Bioinformatics | Computational Biology | Proteomics Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm. September 6, 2023
Bioinformatics | Computational Biology | Oncology Spatial transformation of multi-omics data unlocks novel insights into cancer biology. September 5, 2023
Bioinformatics | Computational Biology | Genetics Multimodal learning of noncoding variant effects using genome sequence and chromatin structure. September 5, 2023
Bioinformatics | Computational Biology | Immunology Improved prediction of MHC-peptide binding using protein language models. September 4, 2023
Biochemistry | Computational Biology Toward the appropriate interpretation of Alphafold2. September 4, 2023