Article

Predicting Tissue of Origin from Bulk Tumor Gene Expression using a Pre-trained Transformer Model

2024-12-05

Abstract excerpt

Identifying the tissue of origin for cancers is essential for enhancing diagnostic precision, selecting effective treatments, and guiding clinical decision-making. In this study, we developed a predictive model to classify the tissue of origin across various cancer types. Using a dataset with 10,300 samples from 32 unique tissue types, the model achieved an overall accuracy of 88% in distinguishing among all 32 cl...

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Identifiers and source

Literature Corpus work: 98832404-d27c-523b-80ba-f08ed39fa786
DOI: 10.1101/2024.12.01.626105

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