遇见数据集

Seurat more cells A.2

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Figshare2023-01-31 更新2026-04-08 收录
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<strong>seurat v3 object</strong> <br> <strong>ASSAYS:</strong> ADT: Antibody expression data RNA: mRNA expression data <br> <strong>DIMENSIONALITY REDUCTION</strong> projAML: Data was projected on the main AML dataset from Cohorts A and B. pca: pca computed on the 2000 most variable features umapSimple: umap computed from first 15 principal components <br> <strong>METADATA</strong> patient: Patient ct: Projected cell type (Triana et al., 2021) ct_simple: Simplified projected celltype batch: Cells come either from total bone marrow or CD34+ enrichment using either FACS or MACS seurat_clusters: unsupervised clusters obtained running the standard Seurat workflow proj_cluster: Projected cluster from main AML dataset leukemia_prob: CloneTracer leukemia probability status: Binarized status (healthy, leukemic, unsure) clonal_probability: CloneTracer clonal probability clone: Binarized clone dormancy_score: score assessing the dormancy of cells based on Zhang 2021 and Cabezas-Wallscheid 2017 gene lists.

**Seurat v3 对象(Seurat v3 object)** **实验测定(ASSAYS):** ADT:抗体表达数据(Antibody expression data);RNA:信使RNA(mRNA)表达数据 **降维(DIMENSIONALITY REDUCTION):** projAML:将数据投影自队列A与队列B的核心急性髓系白血病(AML)数据集;pca:基于2000个最高变异特征计算得到的主成分分析(PCA);umapSimple:基于前15个主成分计算得到的均匀流形近似与投影(UMAP) **元数据(METADATA):** patient:患者信息;ct:预测细胞类型(Triana等,2021);ct_simple:简化版预测细胞类型;batch:细胞样本来源为全骨髓,或通过荧光激活细胞分选(FACS)、磁激活细胞分选(MACS)进行CD34+富集的样本;seurat_clusters:通过标准Seurat流程得到的无监督聚类结果;proj_cluster:核心AML数据集的投影聚类结果;leukemia_prob:CloneTracer算法计算的白血病概率;status:二分类状态(健康、白血病、不确定);clonal_probability:CloneTracer算法计算的克隆概率;clone:二分类克隆信息;dormancy_score:基于Zhang等2021年与Cabezas-Wallscheid等2017年的基因列表,评估细胞休眠状态的评分。

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2023-01-31
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