ISPRS International Journal of Geo-Information, 2017 As an extension of the traditional Land Use Regression (LUR) modelling, the generalized additive model (GAM) was developed in recent years to explore the non-linear relationships between PM2.5 concentrations and the factors impacting it.
Shuang Li +4 more
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Robust estimation of mean and dispersion functions in extended generalized additive models. [PDF]
Generalized Linear Models are a widely used method to obtain parametric estimates for the mean function. They have been further extended to allow the relationship between the mean function and the covariates to be more flexible via Generalized Additive ...
Croux, Christophe +2 more
core +2 more sources
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Oracally Efficient Two-Step Estimation of Generalized Additive Model [PDF]
Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions.
Wolfgang Karl Härdle +2 more
core
Precipitation spatial estimation based on generalized additive model and its preliminary application
Shuili Shuiyun Gongcheng Xuebao, 2016 With the aid of the observation data obtained from 33 precipitation stations during 1989—2013 in the western region of Zhejiang Province within the Taihu Lake watershed, a predictive model for the annual precipitation spatial estimation has been ...
WANG Lei-zhi +4 more
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Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis [PDF]
Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Kung-Sik Chan, Hai Liu
core
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]
, 2009 Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas +2 more
core +1 more source
Evaluation of oriental beech (Fagus orientalis L.) site productivity using generalized additive model (Case study: Tarbiat Modares University Forest Research Station) [PDF]
مجله جنگل ایران, 2015 Site productivity is a key indicator of forest ecosystem; therefore it is an important criterion for forest manager for estimating the yield, annual exploitation and growth, and choosing the most suitable tree species for sites as well.
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