Results 81 to 90 of about 518,510 (312)
A Spatial Causal Inference Analysis Framework
, 2023 © 2024 Kamal AkbariThe growing interest in causal inference in recent years has led to new methodologies and their applications across disciplines and research domains. Yet, studies on spatial causal inference are still rare.
Akbari, Kamal
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Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Bayesian Inference of Spatial Organizations of Chromosomes
PLoS Comput. Biol., 2013 Knowledge of spatial chromosomal organizations is critical for the study of transcriptional regulation and other nuclear processes in the cell. Recently, chromosome conformation capture (3C) based technologies, such as Hi-C and TCC, have been developed ...
Ming Hu +7 more
semanticscholar +1 more source
Inference From Gene to Population: Propagating Uncertainty In Estimates of Population Characteristics Through Ecological Scales [PDF]
, 2010 A current trend in population biology is the increasing realisation of the effect of individual variability on some of the big patterns of population dynamics.
Chipperfield, Joseph
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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Generalized linear mixed models in epidemiological data analysis: A systematic review of methodological developments [PDF]
International Journal of Data and Network ScienceGeneralized linear mixed models (GLMMs) have become a fundamental statistical framework for analyzing hierarchical and correlated data in epidemiology and related quantitative fields.
Restu Arisanti +3 more
doaj +1 more source
A large-scale perspective for managing prairie avifauna assemblages across the western US: influences of habitat, land ownership and latitude [PDF]
PeerJ, 2017 Future demands for increased food production are expected to have severe impacts on prairie biodiversity and ecosystem integrity. Prairie avifauna of North America have experienced drastic population declines, prompting numerous conservation efforts ...
Victoria J. Dreitz +4 more
doaj +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Frontiers in Marine Science, 2020 The ecosystem dynamics of benthic communities depend on the relative importance of organism reproductive traits, environmental factors, inter-specific interactions, and mortality processes.
Emily G. Mitchell, Simon Harris
doaj +1 more source
Modelling nonstationary gene regulatory processes [PDF]
, 2010 An important objective in systems biology is to infer gene regulatory networks from postgenomic data, and dynamic Bayesian networks have been widely applied as a popular tool to this end.
Husmeier, D. +5 more
core +1 more source