Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence-Detected Prognostic Regions in High-Grade Serous Carcinoma.

MLA

Laury, Anna Ray, et al. “Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence-Detected Prognostic Regions in High-Grade Serous Carcinoma.” Modern Pathology : An Official Journal of the United States and Canadian Academy of Pathology, Inc, vol. 37, no. 7, July 2024, p. 100508. EBSCOhost, https://doi.org/10.1016/j.modpat.2024.100508.

APA

Laury, A. R., Zheng, S., Aho, N., Fallegger, R., Hänninen, S., Saez-Rodriguez, J., Tanevski, J., Youssef, O., Tang, J., & Carpén, O. M. (2024). Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence-Detected Prognostic Regions in High-Grade Serous Carcinoma. Modern Pathology : An Official Journal of the United States and Canadian Academy of Pathology, Inc, 37(7), 100508. https://doi.org/10.1016/j.modpat.2024.100508

Chicago

Laury, Anna Ray, Shuyu Zheng, Niina Aho, Robin Fallegger, Satu Hänninen, Julio Saez-Rodriguez, Jovan Tanevski, Omar Youssef, Jing Tang, and Olli Mikael Carpén. 2024. “Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence-Detected Prognostic Regions in High-Grade Serous Carcinoma.” Modern Pathology : An Official Journal of the United States and Canadian Academy of Pathology, Inc 37 (7): 100508. doi:10.1016/j.modpat.2024.100508.