Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers

Bibliographic Details
Title: Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers
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
More Details
ISSN:29502470
DOI:10.1016/j.soi.2024.100009
Published in:Surgical Oncology Insight
Language:English