Developmental Biology | Stem Cell Research | Transcriptomics Reconstructing developmental trajectories using latent dynamical systems and time-resolved transcriptomics. May 16, 2024
Bioinformatics | Computational Biology | Transcriptomics ntEmbd: Deep learning embedding for nucleotide sequences. May 15, 2024
Bioinformatics | Pathology | Transcriptomics A contrastive learning approach to integrate spatial transcriptomics and histological images. May 6, 2024
Oncology | Pathology | Transcriptomics Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics. April 17, 2024
Bioinformatics | Oncology | Transcriptomics Domain generalization enables general cancer cell annotation in single-cell and spatial transcriptomics. March 2, 2024
Bioinformatics | Genomics | Transcriptomics CIRI-Deep Enables Single-Cell and Spatial Transcriptomic Analysis of Circular RNAs with Deep Learning. February 2, 2024
Bioinformatics | Computational Biology | Transcriptomics A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics. December 13, 2023
Genomics | Oncology | Transcriptomics GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. September 27, 2023
Bioinformatics | Genetics | Transcriptomics GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning. September 6, 2023
Bioinformatics | Computational Biology | Genomics | Transcriptomics Deep learning applications in single-cell genomics and transcriptomics data analysis. July 2, 2023
Cancer | Transcriptomics GAN-based data augmentation for transcriptomics: survey and comparative assessment. June 30, 2023
Biomedical Research | Genomics | Transcriptomics MTM: a multi-task learning framework to predict individualized tissue gene expression profiles. June 6, 2023