Chemical Approaches for Array Based Detection of Amyloids
Amyloids are protein aggregates with both pathological and functional roles. Their detection is challenged by structural polymorphism, isoform diversity, and dynamic aggregation behavior. This review presents chemical array‐based sensing strategies that address these complexities, emphasizing fluorescence and colorimetric methods, alongside ...
Paulo M. Simon, Yijia Xu, Amandeep Kaur
wiley +1 more source
Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis. [PDF]
Hu YM +4 more
europepmc +1 more source
Goodness‐of‐fit processes for logistic regression: simulation results [PDF]
David W. Hosmer, Nils Lid Hjort
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A Systematic Approach to Analyze T Cell Migration: Application to Mouse Melanoma Tumors
The results show that a minimum of two migration speeds can be rigorously identified from the data with cells switching between a fast, persistent migratory state, and a slow, random migration state. These results will help in identifying genetic factors that influence rapid migration, among other applications, such as quality control for CAR‐T cell ...
Nikolaos Memmos +4 more
wiley +1 more source
Multinomial logistic regression algorithm for the classification of patients with parkinsonisms. [PDF]
Štokelj E +4 more
europepmc +1 more source
A Comparative Analysis of Graphical Interaction and Logistic Regression Modelling: Self-care and Coping with a Chronic Illness in Later Life [PDF]
Vanessa Didelez +3 more
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Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer +7 more
wiley +1 more source
Research on Olympic medal prediction based on GA-BP and logistic regression model. [PDF]
Zhao S, Cao J, Lu K, Steve J.
europepmc +1 more source
Sensitivity analysis of censored output through polynomial, logistic, and tobit regression meta-models: theory and case study [PDF]
J.P.C. Kleijnen +2 more
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Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source

