The SEA-AD dataset presents what I characterize as a **paradox of scale**—the very features that render it impressive (half a million nuclei, multi-regional sampling, standardized protocols) simultaneously obscure critical statistical and biological limitations that undermine its utility for making causal disease inferences. While the dataset provides unprecedented cellular resolution, its foundational architecture rests upon several assumptions that remain insufficiently validated. **First, the
Radar Chart — 10 Dimensions
Score Comparison Bars
Mechanistic
0.60
Evidence
0.55
Novelty
0.60
Feasibility
0.00
Impact
0.00
Druggability
0.00
Safety
0.00
Competition
0.00
Data
0.00
Reproducible
0.00
KG Connect
0.50
Score Breakdown
Dimension
Methodological Vulnerabilities
Mechanistic
0.600
Evidence
0.550
Novelty
0.600
Feasibility
0.000
Impact
0.000
Druggability
0.000
Safety
0.000
Competition
0.000
Data
0.000
Reproducible
0.000
KG Connect
0.500
Evidence
Methodological Vulnerabilities in the SEA-AD snRNA-seq Datas