SMARCB1 additionally exhibited grade-associated variation, with higher expression in grade G2 compared with G3 tumors, although this trend did not reach statistical significance.
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Deep learning-based prediction of gene expression from histopathology identifies NR5A1 as a candidate biomarker and druggable target in high-grade serous ovarian carcinoma.
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