Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. [PDF]
Alali M, Imani M.
europepmc +1 more source
GPS-Based Hidden Markov Models to Document Pastoral Mobility in the Sahel. [PDF]
Scriban A +6 more
europepmc +1 more source
Abstract Understanding patient responses to periodontal regeneration is crucial. This systematic review and meta‐analysis addressed two key questions: (a) the impact of periodontal regeneration on patient‐reported outcome measures (PROMs) for intrabony and furcation involvement and (b) the cost‐effectiveness of periodontal regeneration for treating ...
Zhaozhao Chen +2 more
wiley +1 more source
Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models. [PDF]
Cheng H +4 more
europepmc +1 more source
Flexible modeling of headache frequency fluctuations in migraine with hidden Markov models. [PDF]
Dumkrieger GM, Ishii R, Goadsby PJ.
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Translating cardiovascular ion channel and Ca2+ signalling mechanisms into therapeutic insights
Abstract figure legend This white paper integrates mechanistic discoveries across ion channel biology, Ca2+ signalling and multiscale cardiovascular physiology to highlight new opportunities for accelerating research and guiding next‐generation therapies. Printed with permission from ®Anita Impagliazzo Medical Illustration. [Correction added on 2 March
Silvia Marchianò +18 more
wiley +1 more source
learnMSA2: deep protein multiple alignments with large language and hidden Markov models. [PDF]
Becker F, Stanke M.
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The Geographic Moran Effect: Theory, Methods, and Interpretation
ABSTRACT The Moran effect traditionally refers to the synchronization of population dynamics driven by shared environmental forcing rather than direct interactions among populations. Although extensively studied in population ecology, the Moran effect has received limited attention in geography, and its applicability remains insufficiently explored. In
Zhenzhi Jiao +2 more
wiley +1 more source
Data-Driven Identification of Early Cancer-Associated Genes via Penalized Trans-Dimensional Hidden Markov Models. [PDF]
Hajebi Khaniki S, Shokoohi F.
europepmc +1 more source

