All features highlighted in this section showed highly significant differential expression across the 13 solid tumor types and between pan-cancer and non-cancer samples (BH-FDR q < 0.005 in every case).
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Machine Learning-Based Identification of Candidate Serum miRNA Features for Pan-Cancer and Cancer Type Classification.
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