Results 41 to 50 of about 1,111,830 (263)

MonteCarloSEM: An R Package to Simulate Data for SEM

International Journal of Assessment Tools in Education, 2021
Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the
Fatih Orçan
doaj  

Network Coincidence Analysis: The netCoin R Package

Journal of Statistical Software, 2020
The aim of the R package netCoin is to explore data structures using a number of statistical techniques that share the handling of interdependent variables.
Modesto Escobar, Luis Martinez-Uribe
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Are There Too Many R Packages?

Austrian Journal of Statistics, 2016
The number of R extension packages available from the CRAN repository has tremendously grown over the past 10 years. We look at this phenomenon in more detail, and discuss some of its consequences. In particular, we argue that the statistical computing community needs a more common understanding of software quality, and better domain-specific semantic ...
openaire   +4 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Cluster Analysis on Radioactivity Levels of K-40, Ra-226, and Th-232 at Chikun Environment of Kaduna State, Nigeria, Using the R Package [PDF]

Physics Access
Exposure to ionizing radiation from both natural and anthropogenic sources poses serious environmental and health concerns. This study used hierarchical clustering to investigate the spatial distribution of naturally occurring radionuclides K-40, Ra ...
Handan T Elisha, Sarki S Habila, Shirley O Yakubu, Umar Isah, Davou H Daze   +4 more
doaj   +1 more source

Prospects and challenges in R package development

Computational Statistics, 2010
R, a software package for statistical computing and graphics, has evolved into the lingua franca of (computational) statistics. One of the cornerstones of R’s success is the decentralized and modularized way of creating software using a multi-tiered development model: The R Development Core Team provides the “base system”, which delivers basic ...
Stefan Theußl, Uwe Ligges, Kurt Hornik
openaire   +4 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Enhancing Neutrosophic Data Analysis: A Review of Neutrosophic Measures and Applications with Neutrostat [PDF]

Neutrosophic Sets and Systems
Neutrosophic statistical measures analyze data that is not fully determined, often due to imprecise observations. This type of data presents a major concern in neutrosophic statistics.
Zahid Khan , Katrina Lane Krebs
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source