January 25, 2024 article Open access Gene panel selection for targeted spatial transcriptomics Genome biology DOI: 10.1186/s13059-024-03174-1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 20 References 2 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 machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing 2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 96 citations NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing 2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 12 citations 2 results