step 1 : create object
step 2 : quality control
step 3 : Standardization and normalization of expression
step 4 : Remove interference factors (integration of multiple samples)
step 5: determine important genes
step 6 : Multiple Dimensionality Reduction Algorithms
step 7 : Visualize dimensionality reduction results
step 8 : Various clustering algorithms
step 9 : Find the marker genes of each cell subgroup after clustering
step 10 : continue classification
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