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@Hrovatin

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@Hrovatin

Batch effects strength:

  • One example (single ct)

cVAE KLw:

  • cVAE metrics on scaled and unscaled
  • Embedding dimension sizes
  • Examle UMAPs (r=1 for min and max param of KLw and z_cyc_std)

Metrics analysis:

  • scIB metrics bias (graph vs distance)
  • Moran's I genes examples

Performance:

  • Metrics full (supp)
  • Metrics best
  • UMAPs

Adversarial (scGLUE):

  • (Merging cts UMAP) - maybe not as already in one of the top runs
  • Jaccard per ct with different z dist cycle and lam_align weights; show proportions of system per ct and integration score; also add rel gene weight (as affects integration)

Saturn cluster prior:

  • UMAP with clusters for top run

VAMP:

  • ?

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