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QC Report
Merged dermatology datasets (2026)
QC
Normalisation
Dimensionality Reduction
Clustering
Integration & Annotation
Filtered Data – All Datasets
Filtered Data – Per Dataset
Filtered Data
All Datasets
Genes per cell
Globin fraction
Top 20 gene fraction
MT fraction
Ribosomal fraction
Total counts
Per Dataset
Dunlap_2022
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Hughes_2020
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Ma_2024
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Merleev_2022
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Ober_Reynolds_2023
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Straalen_2024
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Yerly_2022
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Zou_2023
QC metrics (filtered)
Mitochondrial counts (filtered)
Highest expressed genes (filtered)
Distribution
Normalisation effect
Statistical QC
Mean–variance relationship
QQ plots
Coefficient of variation
Cell–cell correlation
Feature Selection
Highly variable genes
HVG batch consistency
PCA
PCA variance ratio
Gene loadings by PC
PCA QC metrics
UMAP
UMAP QC metrics
Clustering resolutions
Results – All Samples
Model Training – All Samples
Results
Integration QC
Integration quality
UMAP
Label transfer UMAP
scANVI UMAP QC
Cell origin UMAP
Clustering
Clustering resolutions
Annotation QC (res 0.5)
Annotation QC (res 1.0)
Annotation QC (res 1.5)
Annotation QC (res 2.0)
Model Training
ELBO
KL divergence
Reconstruction loss
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