Results 81 to 90 of about 1,397,188 (342)

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

open access: yesFEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li   +8 more
wiley   +1 more source

Accurately Estimating Correlations Between Demographic Parameters: A Response to Riecke Et al. (2024)

open access: yesEcology and Evolution
Correlations between annual recovery and survival probabilities estimated from tag‐recovery data have been used to quantify the demographic response of exploited populations to harvest. Deane et al.
Cody E. Deane   +5 more
doaj   +1 more source

A Novel Approach to Improve the Estimation of a Diet Adherence Considering Seasonality and Short Term Variability – The NU-AGE Mediterranean Diet Experience

open access: yesFrontiers in Physiology, 2019
In this work we present a novel statistical approach to improve the assessment of the adherence to a 1-year nutritional intervention within the framework of the NU-AGE project. This was measured with a single adherence score based on 7-days food records,
Enrico Giampieri   +16 more
doaj   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

open access: yesFEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde   +3 more
wiley   +1 more source

Morphological variance in cave and surface populations of Asellus aquaticus challenges the fluctuating selection and greater male variability hypotheses

open access: yesFrontiers in Ecology and Evolution
IntroductionFluctuating selection, the changes in the strength and/or direction of natural selection stemming from fine-scale spatio-temporal environmental variation, is a fundamental, yet rarely tested explanation for the maintenance of phenotypic ...
Anna Biró   +12 more
doaj   +1 more source

Effects of camera‐trap placement and number on detection of members of a mammalian assemblage

open access: yesEcosphere, 2021
A central goal in camera‐trapping (CT) studies is to maximize detection probability and precision of occupancy estimates while minimizing the number of CTs to reduce equipment and labor costs.
Tim R. Hofmeester   +6 more
doaj   +1 more source

Hierarchical Geodesic Models in Diffeomorphisms

open access: yesInternational Journal of Computer Vision, 2015
Hierarchical linear models (HLMs) are a standard approach for analyzing data where individuals are measured repeatedly over time. However, such models are only applicable to longitudinal studies of Euclidean data. This paper develops the theory of hierarchical geodesic models (HGMs), which generalize HLMs to the manifold setting.
Nikhil Singh 0002   +3 more
openaire   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

SOMTreeNet: A Hybrid Topological Neural Model Combining Self-Organizing Maps and BIRCH for Structured Learning

open access: yesMathematics
This study introduces SOMTreeNet, a novel hybrid neural model that integrates Self-Organizing Maps (SOMs) with BIRCH-inspired clustering features to address structured learning in a scalable and interpretable manner.
Yunus Doğan
doaj   +1 more source

Methods of Hierarchical Clustering [PDF]

open access: yes, 2011
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models.
Contreras, Pedro, Murtagh, Fionn
core   +2 more sources

Home - About - Disclaimer - Privacy