Results 61 to 70 of about 1,111,830 (263)
Multilevel model analysis using R [PDF]
Revista Română de Statistică, 2014 The complex datasets cannot be analyzed using only simple regressions. Multilevel models (also known as hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models or split-plot designs) are
Nicolae-Marius JULA
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Measurement: Interdisciplinary Research and Perspectives, 2018 Equating test scores between different achievement test versions is important to assure comparability between test takers’ scores.
openaire +2 more sources
Structural and biochemical analysis of a B12 superbinder
FEBS Letters, EarlyView.BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
GAPR: An Efficient R Package for Matrix Visualization and Seriation
Journal of Open Research SoftwareExploratory data analysis (EDA) relies on visualization to reveal patterns, structures, and relationships before formal modeling. As modern datasets increase in size, dimension, and heterogeneity, exposing the association structure becomes challenging ...
Shu-Yu Lin +2 more
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RNA‐related functions of BRCA2 in transcription, replication, and genome stability
FEBS Letters, EarlyView.Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda +2 more
wiley +1 more source
Improved Subset Autoregression: With R Package
Journal of Statistical Software, 2008 The FitAR R (R Development Core Team 2008) package that is available on the Comprehensive R Archive Network is described. This package provides a comprehensive approach to fitting autoregressive and subset autoregressive time series. For long time series
A. I. McLeod, Ying Zhang
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Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package
Journal of Statistical Software, 2016 An increasing number of quantitative reviews of epidemiological data includes a doseresponse analysis. Aims of this paper are to describe the main aspects of the methodology and to illustrate the novel R package dosresmeta developed for multivariate dose-
Alessio Crippa, Nicola Orsini
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FEBS Letters, EarlyView.Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source
A concise guide to essential R packages for analyses of DNA, RNA, and proteins
Molecules and Cells: R is widely regarded as unrivaled by other high-level programming languages for its statistical functions. The popularity of R as a statistical language has led many to overlook its applications outside the statistical realm.
Eng Wee Chua +2 more
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SparseM: A Sparse Matrix Package for R *
Journal of Statistical Software, 2003 SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices ...
Roger Koenker, Pin Ng
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