We also remove dying cells identified by a high proportion of mitochondrial reads and doublets expressing an unusually high number of genes, both determined using quality control plots generated by SCANPY’s ‘pp.calculate_qc_metrics’ tool. Subsequently, we normalize the data to a library size ...
We used five real datasets, and we referred them by the first author of the corresponding paper or by the content of the data. All the real datasets were normalized by LogNormalize method from Seurat (version 3.1.0) prior to analysis. The marker genes used for all the datasets are listed...
3. Call Cor_h_X(), which computes the correlation vector of the target signal x'(n) with the impulse response h(n). 4. Call D4i40_17() to perform an exhaustive search for the four pulses. This function effectively gen- erates all possible code words and chooses the one that ...
min_genes=200)# 根据每个细胞的 Library Size 进行标准化sc.pp.normalize_total(new,target_sum=1e4)# 将基因表达值 x 进行 log2(x+1) 的转化sc.pp.log1p(new,base=2)# 存储处理后的数据new.write('./data/preprocessed_data.h5ad')