Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data
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arXiv:2609.05683v1 Announce Type: cross Abstract: Single-cell RNA sequencing studies routinely use clustering to define putative cell types and cell states, yet the observed separation may arise from sampling variability rather than genuine biological heterogeneity. This paper studies formal signif…
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- 2026-09-09 04:00 · arXiv stat.ML
Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data
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