JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing - Cui, Tao; Wang, Tingting (BMC genomics, 2021)
Keywords: Accuracy; Algorithms; Animal Genetics and Genomics; Bias; Binomial distribution; Biological activity; Biomedical and Life Sciences; Cluster Analysis; Clustering; Clustering (Computers); Data analysis; Data processing; Datasets; Deep learning; Dropout; Gene expression; Gene Expression Profiling; Gene sequencing; Genomics; Identification; JOINT; Life Sciences; Machine learning; Methodology; Methodology Article; Methods; Microarrays; Microbial Genetics and Genomics; Optimization; Parallel processing; Plant Genetics and Genomics; Probabilistic models; Probability; Proteomics; Python (Programming language); Ribonucleic acid; RNA; RNA - genetics; RNA sequencing; RNA-Seq; Robustness; Sequence analysis; Sequence Analysis, RNA; Single-cell; Single-Cell Analysis; Transcriptomic methods; Transcriptomics; United States; Deep learning; Parallel computing; RNA-Seq; DEG; Probability; Soft-clustering; JOINT; Single-cell; Dropout