Results 101 to 110 of about 16,362,739 (323)
The semantic conservation of architectural heritage: the missing values
Heritage Science, 2020 The conservation of the architectural heritage has enjoyed a long course of development over the recent decades. Conservation practice is based on the values offered by the architectural heritage resources for different individuals, groups, societies ...
Mohammad Sadegh Taher Tolou Del +2 more
doaj +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
MissForest - nonparametric missing value imputation for mixed-type data
, 2011 Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. J. Stekhoven +11 more
core +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
The effect of missing data in growth curves
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2004 Background and Objective: Applying the growth curve is the most powerful way for monitoring the growth in children and through this method it would be possible to recognize in time the deviation from the natural growth pattern in children.
M Haji Ahmadi +2 more
doaj
Calibrated imputation of numerical data under linear edit restrictions [PDF]
, 2008 A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data.
De Waal, Ton +2 more
core
Missing Values in Multivariate Analysis
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1975 Summary This paper presents computational results for some alternative methods of analysing multivariate data with missing values. We recommend an algorithm due to Orchard and Woodbury (1972), which gives an estimator that is maximum likelihood when the data come from a multivariate normal population.
Beale, E. M. L., Little, R. J. A.
openaire +2 more sources
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Denoising autoencoder framework for reconstructing missing periodontal clinical records
Frontiers in Dental MedicineIntroductionMissing clinical data pose a significant challenge for retrospective analyses and predictive modelling in periodontal research. Traditional imputation methods often overlook the complex correlations among variables and produce implausible ...
Asok Mathew, Pradeep Kumar Yadalam
doaj +1 more source
Generalized canonical correlation analysis with missing values [PDF]
Two new methods for dealing with missing values in generalized canonicalcorrelation analysis are introduced. The first approach, which does notrequire iterations, is a generalization of the Test Equating method availablefor principal component analysis ...
Takane, Y., Velden, M. van de
core +1 more source