Results 71 to 80 of about 1,095,657 (311)

An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis

Entropy, 2019
Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables.
Shinpei Imori, Hidetoshi Shimodaira
doaj   +1 more source

A comparison of incomplete-data methods for categorical data [PDF]

Statistical Methods in Medical Research, 2012
We studied four methods for handling incomplete categorical data in statistical modeling: (1) maximum likelihood estimation of the statistical model with incomplete data, (2) multiple imputation using a loglinear model, (3) multiple imputation using a latent class model, (4) and multivariate imputation by chained equations.
van der Palm, D.W., van der Ark, L.A., Vermunt, J.K.   +2 more
openaire   +3 more sources

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

conting : an R package for Bayesian analysis of complete and incomplete contingency tables [PDF]

, 2014
The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models.
Ruth King, Overstall, Antony, Antony M. Overstall, King, Ruth, Antony M. Overstall, Overstall, Antony M.   +5 more
core   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +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

Exploring incomplete data using visualization techniques

, 2011
Visualization of incomplete data allows to simultaneously explore the data and the structure of missing values. This is helpful for learning about the distribution of the incomplete information in the data, and to identify possible structures of the ...
Andreas Alfons, Alfons, Andreas, Filzmoser, Peter, Matthias Templ, Templ, Matthias, Peter Filzmoser   +5 more
core   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

FEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Robustness of the Data-Driven Identification algorithm with incomplete input data [PDF]

Journal of Theoretical, Computational and Applied Mechanics
Identifying the mechanical response of a material without presupposing any constitutive equation is possible thanks to the Data-Driven Identification algorithm developed by the authors.
Marie Dalémat, Michel Coret, Adrien Leygue, Erwan Verron   +3 more
doaj   +1 more source

Pattern classification for incomplete data [PDF]

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002
The problem of pattern classification for inputs with missing values is considered. A general fuzzy min-max (GFMM) neural network utilising hyperbox fuzzy sets as a representation of data cluster prototypes is used. It is shown how a classification decisions can be carried out on a subspace of high dimensional input data.
openaire   +1 more source