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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer

Fig. 1

The workflow of the present study. (1) Feature selection and machine-learning benchmark were performed in the TCGA-PRAD dataset. (2) A replication stress signature was established and externally validated in 4 independent cohorts. (3) Potential therapeutic targets and drugs were identified through in silico screening

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Journal of Translational Medicine

ISSN: 1479-5876

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