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After a quick glance, it seems like sc-HSC offers two possible solutions: 1) use their hierarchical clustering function scSHC to cluster out artifacts in PCA space, or 2) continue to use k-means/GMM and then use the their significance testing function testClusters to either accept or reject the cluster results.
The text was updated successfully, but these errors were encountered:
As @boyiguo1 suggested, we could potentially implement cluster significance testing using sc-HSC to determine which samples have artifacts.
After a quick glance, it seems like sc-HSC offers two possible solutions: 1) use their hierarchical clustering function
scSHC
to cluster out artifacts in PCA space, or 2) continue to use k-means/GMM and then use the their significance testing functiontestClusters
to either accept or reject the cluster results.The text was updated successfully, but these errors were encountered: