A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.
A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.
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DOI：
10.1002/cyto.a.22732
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发表时间：
2016-01
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影响因子：
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通讯作者：
Brinkman RR
中科院分区：
文献类型：
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作者：
Aghaeepour N;Chattopadhyay P;Chikina M;Dhaene T;Van Gassen S;Kursa M;Lambrecht BN;Malek M;McLachlan GJ;Qian Y;Qiu P;Saeys Y;Stanton R;Tong D;Vens C;Walkowiak S;Wang K;Finak G;Gottardo R;Mosmann T;Nolan GP;Scheuermann RH;Brinkman RR
流式细胞术：建立了群体鉴定方法的关键评估（FlowCAP）挑战，以比较用于鉴定多维流式细胞术数据中细胞群体的计算方法的性能。在这里，我们报告了FlowCAP-IV的结果，其中来自七个不同研究小组的算法预测了384名HIV+受试者的队列中进展为AIDS的时间，使用抗原刺激的外周血单核细胞（PBMC）样本，用14色染色板进行分析。两种方法（FlowReMi.1和flowDensity-flowType-RchyOptimyx）在设盲测试集中提供了统计学显著的预测值。提交结果的手动验证表明，单细胞表型的无偏分析可以揭示与高维流式细胞术数据集中的目标结果相关的意外细胞类型。
The Flow Cytometry: Critical Assessment of Population Identification Methods (FlowCAP) challenges were established to compare the performance of computational methods for identifying cell populations in multidimensional flow cytometry data. Here we report the results of FlowCAP-IV where algorithms from seven different research groups predicted the time to progression to AIDS among a cohort of 384 HIV+ subjects, using antigen-stimulated peripheral blood mononuclear cell (PBMC) samples analyzed with a 14-color staining panel. Two approaches (FlowReMi.1 and flowDensity-flowType-RchyOptimyx) provided statistically significant predictive value in the blinded test set. Manual validation of submitted results indicated that unbiased analysis of single cell phenotypes could reveal unexpected cell types that correlated with outcomes of interest in high dimensional flow cytometry datasets.