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stat.ML2024
A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
Eliuvish Cuicizion
Principal curve is a well-known statistical method oriented in manifold learning using concepts from differential geometry. In this paper, we propose a novel metric-based principal…
stat.AP2024
PDXpower: A Power Analysis Tool for Experimental Design in Pre-clinical Xenograft Studies for Uncensored and Censored Outcomes
Shanpeng Li, Donatello Telesca, Harley I. Kornblum +5
In cancer research, leveraging patient-derived xenografts (PDXs) in pre-clinical experiments is a crucial approach for assessing innovative therapeutic strategies. Addressing the i…