Gaussian Process Regression Models for Predicting Atomic Energies and Multipole Moments. [PDF]
Burn MJ, Popelier PLA.
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A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui +9 more
wiley +1 more source
Enhancing Cutting Oil Efficiency with Nanoparticle Additives: A Gaussian Process Regression Approach to Viscosity and Cost Optimization. [PDF]
Erdoğan B +4 more
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Gaussian process regression for ultrasound scanline interpolation. [PDF]
Degirmenci A, Howe RD, Perrin DP.
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The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Predicting the academic achievement of students using black hole optimization and Gaussian process regression. [PDF]
Chen Y, Yao X.
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Construction of a Gaussian Process Regression Model of Formamide for Use in Molecular Simulations. [PDF]
Brown ML, Skelton JM, Popelier PLA.
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Producing MSCs on rigid culture substrates induces a scar‐making phenotype, jeapordizing therapeutic success. ‘Tissue‐soft’ surfaces prevent MSC fibrogenesis and preserve regenerative traits. An epigenetic network, driven by HOXA11 and SALL1, maintains ‘soft memory’ by keeping chromatin open in relaxed MSCs, promoting anti‐fibrotic programs.
Fereshteh Sadat Younesi +7 more
wiley +1 more source
Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots. [PDF]
Alkhanani MF.
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Interface State Density Prediction between an Insulator and a Semiconductor by Gaussian Process Regression Models for a Modified Process. [PDF]
Matsunaga K +7 more
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