Bioinformatics | Genomics Batch correction of single-cell sequencing data via an autoencoder architecture. January 12, 2024
Bioinformatics | Computational Biology | Genomics Deep identifiable modeling of single-cell atlases enables zero-shot query of cellular states. November 28, 2023
Other scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier. November 27, 2023
Bioinformatics | Genetics scGAMNN: Graph Antoencoder-Based Single-Cell RNA Sequencing Data Integration Algorithm Using Mutual Nearest Neighbors. September 1, 2023
Bioinformatics | Genomics Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders. March 29, 2023
Bioinformatics | Metabolomics Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data. February 24, 2023
Bioinformatics | Computational Biology | Genomics CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. February 23, 2023
Bioinformatics | Genomics Scalable batch-correction approach for integrating large-scale single-cell transcriptomes. August 10, 2022
Other ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networks. June 30, 2022
Bioinformatics | Computational Biology IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks. February 26, 2022
Bioinformatics | Data Science | Genomics deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors. August 27, 2021