Genomics | Hematology | Oncology Marker-free characterization of full-length transcriptomes of single live circulating tumor cells. November 22, 2022
Bioinformatics | Computational Biology | Genomics | Immunology Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space. October 17, 2022
Bioinformatics | Computational Biology | Genomics Learning discriminative and structural samples for rare cell types with deep generative model. August 1, 2022
Ophthalmology Detecting Retinal Neural and Stromal Cell Classes and Ganglion Cell Subtypes Based on Transcriptome Data with Deep Transfer Learning. July 25, 2022
Bioinformatics | Machine Learning | Medical Research scDLC: a deep learning framework to classify large sample single-cell RNA-seq data. July 13, 2022
Bioinformatics | Computational Biology | Genomics scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously. June 27, 2022
Bioinformatics | Computational Biology Learning deep features and topological structure of cells for clustering of scRNA-sequencing data. March 18, 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 | Experimental Biology MultiCapsNet: A General Framework for Data Integration and Interpretable Classification. December 13, 2021
Bioinformatics | Computational Biology | Genomics scMRA: A robust deep learning method to annotate scRNA-seq data with multiple reference datasets. October 8, 2021
Bioinformatics | Computational Biology | Genomics Contrastive self-supervised clustering of scRNA-seq data. May 28, 2021
Bioinformatics | Genomics Synthetic single cell RNA sequencing data from small pilot studies using deep generative models. May 1, 2021