Application of Transcriptome-Based Gene Set Featurization for Machine Learning Model to Predict the Origin of Metastatic Cancer

Application of Transcriptome-Based Gene Set Featurization for Machine Learning Model to Predict the Origin of Metastatic Cancer

Identifying the primary site of origin of metastatic cancer is vital for guiding treatment decisions, especially for patients with cancer of unknown primary (CUP). Despite advanced diagnostic techniques, CUP remains difficult to pinpoint and is responsible for a considerable number of cancer-related...

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Bibliographic Details
Main Authors: Yeonuk Jeong, Jinah Chu, Juwon Kang, Seungjun Baek, Jae-Hak Lee, Dong-Sub Jung, Won-Woo Kim, Yi-Rang Kim, Jihoon Kang, In-Gu Do
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Current Issues in Molecular Biology
Subjects:
cancer of unknown primary
metastatic cancer
machine learning
gene expression
transcriptome
Online Access:https://www.mdpi.com/1467-3045/46/7/432

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https://www.mdpi.com/1467-3045/46/7/432

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