January 01, 2021 article Open access Statistical and machine learning methods for spatially resolved transcriptomics with histology Computational and Structural Biotechnology Journal DOI: 10.1016/j.csbj.2021.06.052 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 102 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 Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data 2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 28 citations Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data 2021 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 10 citations 2 results