Results 131 to 140 of about 293,301 (286)

eQTL Meta‐Analysis Reveals Conserved and Population‐Specific Regulatory Variation Underlying Nutritional Trait Evolution and Domestication in Tomato

open access: yesAdvanced Science, EarlyView.
A comprehensive meta‐analysis of expression quantitative trait loci (eQTLs) across five diverse tomato populations reveals a high‐resolution atlas of transcriptional regulation and uncovers conserved and population‐specific regulatory architectures underlying fruit nutritional quality traits, including flavonoids, sugars, organic acids, carotenoids ...
Jiantao Zhao   +14 more
wiley   +1 more source

A comparative analysis of missing data imputation techniques on sedimentation data

open access: yesAin Shams Engineering Journal
Sediment data pertains to various hydrological variables with complex sediment hydrodynamics such as sedimentation rates which are often incompletely presented. Thus, the availability of sedimentation data is of utmost necessity for data accessibility. A
Wing Son Loh   +5 more
doaj   +1 more source

The Sensitivity of Estimates of Post-Apartheid Changes in South African Poverty and Inequality to key Data Imputations [PDF]

open access: yes
We begin by summarising the literature that has assessed medium-run changes in poverty and inequality in South Africa using census data. According to this literature, over the 1996 to 2001 period both poverty and inequality increased.
Cally Ardington   +3 more
core   +1 more source

Endothelial GPR68 Is Essential for Arteriogenesis and Represents a Therapeutic Target in a Model of Peripheral Artery Disease

open access: yesAdvanced Science, EarlyView.
Endothelial GPR68 is identified as a critical regulator of collateral artery growth in peripheral artery disease. Genetic and pharmacological evidence demonstrates that GPR68 integrates hemodynamic cues to drive monocyte recruitment and inflammatory remodeling, thereby promoting collateral arteriogenesis and tissue perfusion after ischemia ...
Yiyan Song   +12 more
wiley   +1 more source

One-sample missing DNA-methylation value imputation

open access: yesBMC Bioinformatics
Background Currently, the most popular methods for missing DNA-methylation value imputation rely on exploiting methylation patterns across multiple samples from the same population.
Christelle Kemda Ngueda   +4 more
doaj   +1 more source

Sequential Regression Multiple Imputation for Incomplete Multivariate Data using Markov Chain Monte Carlo [PDF]

open access: yes
This paper discusses the theoretical background to handling missing data in a multivariate context. Earlier methods for dealing with item non-response are reviewed, followed by an examination of some of the more modern methods and, in particular ...
Cally Ardington   +2 more
core   +1 more source

Non-Bayesian multiple imputation [PDF]

open access: yes, 2005
Abstract: Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is “proper” which essentially means that the imputations are random draws from a posterior distribution in a Bayesian framework.
openaire   +2 more sources

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Multiple Imputation of Missing Values in Household Data with Structural Zeros

open access: yes, 2018
We present an approach for imputation of missing items in multivariate categorical data nested within households. The approach relies on a latent class model that (i) allows for household level and individual level variables, (ii) ensures that impossible
Akande, Olanrewaju   +2 more
core  

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

open access: yesAdvanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu   +5 more
wiley   +1 more source

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