Unsupervised clustering reveals new prostate cancer subtypes
摘要 背景：前列腺癌是男性中第二常見的癌症。發展基於基因的分類方法是迫切的要求。我們的目標是建立基因分型。 方法：我們使用了四個前列腺癌數據集。癌症基因組圖譜（TCGA）RNA-Seq數據用於訓練分類器。基於分類器的三個亞型被測試是否具有臨牀數據存在顯着差異。其他三組按分類器分類並驗證。 結果：分類器有183個基因。前列腺癌亞型1（PCS1）的特徵是高 GSTP1的表達，Gleason評分較低（P
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相關文章
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