Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]
Swarnkar V +4 more
europepmc +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study. [PDF]
Zhou F +6 more
europepmc +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Correction to: Simultaneous prediction of early and delayed mortality in burn patients: a comparative machine learning analysis of feature importance in a single-center retrospective study. [PDF]
Motamedi M +4 more
europepmc +1 more source
Calpain small subunit homodimerization is robust and calcium‐independent
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
A comprehensive feature importance analysis of surgical site infection following colorectal cancer surgery. [PDF]
Rahimi M +7 more
europepmc +1 more source
Inferring feature importance with uncertainties with application to large genotype data. [PDF]
Johnsen PV +4 more
europepmc +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
ENSEMBLE LEARNING AND FEATURE IMPORTANCE FOR PERSONALIZED DIABETES DIAGNOSIS
Personalized accurate diagnosis is key for effective diabetes management. This study develops an ensemble machine learning approach using XGBoost, Random Forest, and Support Vector Machine for enhanced multi-class prediction of diabetes types.
Saidu, I.R. +3 more
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