Bioinformatics | Computational Biology Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks. January 14, 2024
Oncology | Pathology STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning. January 6, 2024
Bioinformatics | Genomics | Molecular Biology A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study. January 3, 2024
Endocrinology | Oncology Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review. December 21, 2023
Bioinformatics | Computational Biology | Genomics Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data. November 14, 2023
Bioinformatics | Computational Biology Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis. November 11, 2023
Bioinformatics | Computational Biology | Machine Learning scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks. October 30, 2023
Bioinformatics | Computational Biology | Genetics Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. October 28, 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 | COVID-19 research | Data Science scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention. September 3, 2023
Biomedical Research | Genetics Predicting transcriptional outcomes of novel multigene perturbations with GEARS. August 17, 2023
Gastroenterology | Immunology Identification of antigen-presentation related B cells as a key player in Crohn’s disease using single-cell dissecting, hdWGCNA, and deep learning. August 7, 2023