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For: Ash JT, Darnell G, Munro D, Engelhardt BE. Joint analysis of expression levels and histological images identifies genes associated with tissue morphology. Nat Commun 2021;12:1609. [PMID: 33707455 DOI: 10.1038/s41467-021-21727-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Murphy M, Jegelka S, Fraenkel E. Self-supervised learning of cell type specificity from immunohistochemical images. Bioinformatics 2022;38:i395-403. [PMID: 35758799 DOI: 10.1093/bioinformatics/btac263] [Reference Citation Analysis]
2 Hallou A, Yevick HG, Dumitrascu B, Uhlmann V. Deep learning for bioimage analysis in developmental biology. Development 2021;148:dev199616. [PMID: 34490888 DOI: 10.1242/dev.199616] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Priya S, Burns MB, Ward T, Mars RAT, Adamowicz B, Lock EF, Kashyap PC, Knights D, Blekhman R. Identification of shared and disease-specific host gene-microbiome associations across human diseases using multi-omic integration. Nat Microbiol 2022. [PMID: 35577971 DOI: 10.1038/s41564-022-01121-z] [Reference Citation Analysis]
4 Zaritsky A, Jamieson AR, Welf ES, Nevarez A, Cillay J, Eskiocak U, Cantarel BL, Danuser G. Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma. Cell Syst 2021;12:733-747.e6. [PMID: 34077708 DOI: 10.1016/j.cels.2021.05.003] [Reference Citation Analysis]
5 Owens CE, Huffard HG, Nin-Velez AI, Duncan J, Teets CL, Daniels KM, Ealy AD, James RE, Knowlton KF, Cockrum RR. Microbiomes of Various Maternal Body Systems Are Predictive of Calf Digestive Bacterial Ecology. Animals (Basel) 2021;11:2210. [PMID: 34438668 DOI: 10.3390/ani11082210] [Reference Citation Analysis]
6 Han X, Steven K, Qassim A, Marshall HN, Bean C, Tremeer M, An J, Siggs OM, Gharahkhani P, Craig JE, Hewitt AW, Trzaskowski M, MacGregor S. Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA. Am J Hum Genet 2021;108:1204-16. [PMID: 34077762 DOI: 10.1016/j.ajhg.2021.05.005] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
7 Lu C, Shiradkar R, Liu Z. Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review. Chin J Cancer Res 2021;33:563-73. [PMID: 34815630 DOI: 10.21147/j.issn.1000-9604.2021.05.03] [Reference Citation Analysis]