利用Human ESC scRNA-seq dataset for differential expression analysis 二次采样出三个较小的子集,绘制了数据的分布以及插补值之后的表达值均值 (mean) 与标准偏差 (SD) (参见下图6)。所有这些结果表明,scIGANs对于由很少的基因 (约占检测到的基因的5%) 组成的小型数据集具有很强的表达力或细胞间差异,对于其他...
1、使用两部分联合模型来检测差异表达基因,以适应多模态表达值和“drop-out events”;一部分模型对应于正常观察到的基因,另一部分模型对应于“drop-out events”。 (参考文献:Bayesian approach to single-cell differential expression analysis.) 2、MAST:使用hurdle model来表示零计数和阳性表达值,然后使用逻辑回归和...
1、使用两部分联合模型来检测差异表达基因,以适应多模态表达值和“drop-out events”;一部分模型对应于正常观察到的基因,另一部分模型对应于“drop-out events”。 (参考文献:Bayesian approach to single-cell differential expression analysis.) 2、MAST:使用hurdle model来表示零计数和阳性表达值,然后使用逻辑回归和...
如果在低维空间中具有可分性,则数据是可分的;如果在高维空间中不具有可分性,可能是数据不可分,也可能仅仅是因为不能投影到低维空间。 差异表达分析(Differential expression analysis) 细胞很多,每个细胞的基因也有很多,那么那些基因才是有意义的呢?需要一些统计手段来把这些基因识别出来,这就是差异表达分析,针对单细胞...
利用Human ESC scRNA-seq dataset for differential expression analysis 二次采样出三个较小的子集,绘制了数据的分布以及插补值之后的表达值均值(mean) 与标准偏差 (SD) (参见下图6)。所有这些结果表明,scIGANs对于由很少的基因 (约占检测到的基因的5%) 组成的小型数据集具有很强的表达力或细胞间差异,对于其他...
Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression AnalysisDisease profiling, treatment development, and the identification of new cell populations are some of the most relevant applications relying on differentially expressed genes (DEG) analysis. Three leading ...
Differential gene expression analysis for multi-subject single-cell RNA-sequencing studies with aggregateBioVar. Bioinformatics, 19: 3243–3251, 2021 MARBLES Accounts for known cell type relationships as part of the differential expression analysis, after first pseudobul...
scRNA-seq differential expression analysis and cluster marker detection The R package MAST was used to perform all single-cell differential gene expression analyses and Likelihood ratio tests was performed to identify DEGs between two conditions. Benjamini–Hochberg multiple testing correction was used to...
scRNA-seq differential expression analysis and cluster marker detection The R package MAST was used to perform all single-cell differential gene expression analyses and Likelihood ratio tests was performed to identify DEGs between two conditions. Benjamini–Hochberg multiple testing correction was used to...
2021). ST-seq data from 8 wild-type mice were integrated by canonical correlation analysis (CCA) and 6 clusters were obtained by unsupervised clustering. Following examination of each cluster by differential gene expression analysis (DGEA), scRNA-seq data were mapped back to ST-seq tissues using...