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Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer - npj Precision Oncology

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Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer - npj Precision Oncology

The goal of this study was to use a new interpretable machine-learning framework based on max-logistic competing risk factor models to identify a parsimonious set of differentially expressed genes (DEGs) that play a pivotal role in the development of colorectal cancer (CRC). Transcriptome data from nine public datasets were analyzed, and a new Chinese cohort was collected to validate the findings.

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Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer - npj Precision Oncology

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Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer - npj Precision Oncology

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