July 29, 2024 preprint Accurate, fast and memory efficient quantification of immune cell phenotypes in cytometry using machine learning bioRxiv (Cold Spring Harbor Laboratory) DOI: 10.1101/2024.07.26.605341 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A Comprehensive Workflow for Applying Single-Cell Clustering and Pseudotime Analysis to Flow Cytometry Data 2020 The Journal of Immunology article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 56 citations 1 result