Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers
Title: | Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers |
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Authors: | Kramer, Ryan J., Rhodin, Kristen E., Therien, Aaron, Raman, Vignesh, Eckhoff, Austin, Thompson, Camryn, Tong, Betty C., Blazer, Dan G., III, Lidsky, Michael E., D’Amico, Thomas, Nussbaum, Daniel P. |
Source: | In Surgical Oncology Insight March 2024 1(1) |
Database: | ScienceDirect |
ISSN: | 29502470 |
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DOI: | 10.1016/j.soi.2024.100009 |
Published in: | Surgical Oncology Insight |
Language: | English |