The **scRNAseq basic** analysis was conducted according to the workflow outlined below:
1. QC: min.cells = 20; min_feature: between 200 and 6000; max pct.mito = 20.
Normalization (default seurat settings)
2. ALRA (Imputation with default parameters in RunALRA function)
2. Scaling (with following variables to regress out: percent.mt + nCount_RNA and CC.Difference calculated as show in [vignette](https://satijalab.org/seurat/articles/cell_cycle_vignette.html#alternate-workflow-1))
3. Dimensionality reduction: PCA (top 25PCs using 15% most variable genes of whole gene list)
4. Harmony batch removal (sample/ orig.ident)
5. Clustering (Louvain improved: algorithm number 2 in FindCluster Seurat function)