Results 231 to 240 of about 110,828 (307)
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. [PDF]
Kisi O +5 more
europepmc +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning. [PDF]
Wu J, Xu R, Huang R, Hong X.
europepmc +1 more source
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
ADTGP: correcting single-cell antibody sequencing data using Gaussian process regression. [PDF]
Liu ACH, Chan SM.
europepmc +1 more source
We report a robust aerogel digital biosensor by integrating an enzyme‐mediated amorphous MOF within an aerogel matrix for on‐site pesticide detection. The enzyme‐mediated assembly strategy enables in situ tailoring of MOF into a porous amorphous structure, achieving both high stability and activity.
Changshun Su +7 more
wiley +1 more source
This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng +7 more
wiley +1 more source
Implicit Manifold Gaussian Process Regression
Gaussian process regression is widely used because of its ability to provide well-calibrated uncertainty estimates and handle small or sparse datasets. However, it struggles with high-dimensional data.
Billard, Aude +3 more
core +1 more source
Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics. [PDF]
Niu T, Xu Z, Luo H, Zhou Z.
europepmc +1 more source

