scdrs munge-gs\--out-file single_cell_data/zeisel_2015/processed_geneset.gs\--zscore-file single_cell_data/zeisel_2015/geneset.zscore\--weight zscore\--n-max1000 结果文件processed_geneset.gs如下所示: 3.7 计算每个细胞的表型富集度 %%capture#新建一个输出文件夹!mkdir -p single_cell_data/...
!scdrs munge-gs \ --out-file single_cell_data/zeisel_2015/processed_geneset.gs \ --zscore-file single_cell_data/zeisel_2015/geneset.zscore \ --weight zscore \ --n-max 1000 结果文件processed_geneset.gs如下所示: image 3.7 计算每个细胞的表型富集度 %%capture #新建一个输出文件夹 !mkdir...
scdrs munge-gs \ --out-file single_cell_data/zeisel_2015/processed_geneset.gs \ --zscore-file single_cell_data/zeisel_2015/geneset.zscore \ --weight zscore \ --n-max 1000 结果文件processed_geneset.gs如下所示: 3.7 计算每个细胞的表型富集度 %%capture#新建一个输出文件夹!mkdir-p single...
scDRS command-line interface (CLI) instead of.pyscripts for calling scDRS in bash, includingscdrs munge-gs,scdrs compute-score, andscdrs perform-downstream. More efficient in memory use due to the use of sparse matrix throughout the computation. ...
scdrs munge-gs \ --out-file single_cell_data/zeisel_2015/processed_geneset.gs \ --zscore-file single_cell_data/zeisel_2015/geneset.zscore \ --weight zscore \ --n-max 1000 结果文件processed_geneset.gs如下所示: 3.7 计算每个细胞的表型富集度...