: A Bayesian strategy used in machine learning for "zero-inflated" (ZIP) count outcomes, often applied in mobile health studies.
: This is a model for how nucleic acids fold where a single nucleation site (often just one or two base pairs) forms first, followed by a rapid, sequential "zipping" of the remaining base pairs. Significance of TSzipcap T cap S sub z i p end-sub
The letters "TS" and "ZIP" often appear together in other scientific contexts:
), suggesting that once a tiny "nucleation" point is established, the rest of the structure requires very little energy to snap into place. : By calculating TSzipcap T cap S sub z i p end-sub
Insights into Nucleic Acid Conformational Dynamics ... - PMC