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Updated: May 7, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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基于等离子体的转录组非编码签名用于预测儿科急性淋巴细胞白血病复发.

Yaping Wang1, Xiaopeng Ma1, Huimin Li1

  • 1Department of Hematology and Oncology, Children's Hospital of Nanjing Medical University, Nanjing Medical University, 72# Guangzhou Road, Nanjing, Jiangsu Province, China.

Heliyon
|January 6, 2025
PubMed
概括

使用非编码RNA的新血液测试可以预测诊断时急性淋巴细胞白血病 (ALL) 的儿童的复发. 这种非侵入性方法有助于早期风险分层,以获得更好的患者结果.

关键词:
他们的指纹是指纹.在白血病中,白血病.在MRD中,我们可以使用MRD.复发情况 复发情况风险评分 风险评分 风险评分

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Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
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