Bioinformatics | Computational Biology Fatecode enables cell fate regulator prediction using classification-supervised autoencoder perturbation. July 10, 2024
Bioinformatics | Genomics | Oncology Clustering single-cell RNA sequencing data via iterative smoothing and self-supervised discriminative embedding. June 4, 2024
Genetics | Neurology SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis. June 1, 2024
Bioinformatics | Computational Biology | Genomics A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. May 17, 2024
Bioinformatics | Genomics A deep learning framework for denoising and ordering scRNA-seq data using adversarial autoencoder with dynamic batching. May 15, 2024
Bioinformatics | Genomics scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. April 29, 2024
Bioinformatics | Genomics Single-cell type annotation with deep learning in 265 cell types for humans. April 22, 2024
Bioinformatics | Oncology Improving drug response prediction via integrating gene relationships with deep learning. April 11, 2024
Bioinformatics | Cell Biology | Medical Genetics Mapping single-cell developmental potential in health and disease with interpretable deep learning. April 2, 2024
Bioinformatics | Immunology | Pulmonology Combined analysis of bulk RNA and single-cell RNA sequencing to identify pyroptosis-related markers and the role of dendritic cells in chronic obstructive pulmonary disease. March 21, 2024
Bioinformatics | Computational Biology | Genomics Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing. March 20, 2024
Bioinformatics | Genomics | Oncology Anchored-fusion enables targeted fusion search in bulk and single-cell RNA sequencing data. March 19, 2024