Tropical nighttime warming as a dominant driver of variability in the terrestrial carbon sink
WRL Anderegg, AP Ballantyne… - Proceedings of the …, 2015 - National Acad Sciences
The terrestrial biosphere is currently a strong carbon (C) sink but may switch to a source in
the 21st century as climate-driven losses exceed CO2-driven C gains, thereby accelerating …
the 21st century as climate-driven losses exceed CO2-driven C gains, thereby accelerating …
Maternal early pregnancy serum metabolites and risk of gestational diabetes mellitus
DA Enquobahrie, M Denis, MG Tadesse… - The Journal of …, 2015 - academic.oup.com
Context: Significant gaps remain in the understanding of genetic and environmental risk
factors, as well as related mechanisms that contribute to gestational diabetes mellitus …
factors, as well as related mechanisms that contribute to gestational diabetes mellitus …
Estimating linear covariance models with numerical nonlinear algebra
Numerical nonlinear algebra is applied to maximum likelihood estimation for Gaussian
models defined by linear constraints on the covariance matrix. We examine the generic case …
models defined by linear constraints on the covariance matrix. We examine the generic case …
A pair of long intergenic non-coding RNA LINC00887 variants act antagonistically to control Carbonic Anhydrase IX transcription upon hypoxia in tongue squamous …
T Shen, W Xia, S Min, Z Yang, L Cheng, W Wang… - BMC biology, 2021 - Springer
Abstract Background Long noncoding RNAs (lncRNAs) are important regulators in tumor
progression. However, their biological functions and underlying mechanisms in hypoxia …
progression. However, their biological functions and underlying mechanisms in hypoxia …
Binary models for marginal independence
M Drton, TS Richardson - Journal of the Royal Statistical Society …, 2008 - academic.oup.com
Log-linear models are a classical tool for the analysis of contingency tables. In particular, the
subclass of graphical log-linear models provides a general framework for modelling …
subclass of graphical log-linear models provides a general framework for modelling …
Inferring causalities in landscape genetics: an extension of Wright's causal modeling to distance matrices
Identifying landscape features that affect functional connectivity among populations is a
major challenge in fundamental and applied sciences. Landscape genetics combines …
major challenge in fundamental and applied sciences. Landscape genetics combines …
Identifiability of linear AMP chain graph models
Y Wang, A Bhattacharyya - Proceedings of the AAAI Conference on …, 2022 - ojs.aaai.org
We study identifiability of linear Andersson-Madigan-Perlman (AMP) chain graph models,
which are a common generalization of linear structural equation models and Gaussian …
which are a common generalization of linear structural equation models and Gaussian …
Distribution and Diversity of a Protist Predator Cryothecomonas (Cercozoa) in Arctic Marine Waters
Heterotrophic nanoflagellates (HNFs) are key components in microbial food webs,
potentially influencing community composition via top‐down control of their favored prey or …
potentially influencing community composition via top‐down control of their favored prey or …
Epigenetic analysis of Paget's disease of bone identifies differentially methylated loci that predict disease status
Paget's disease of bone (PDB) is characterized by focal increases in disorganized bone
remodeling. This study aims to characterize PDB-associated changes in DNA methylation …
remodeling. This study aims to characterize PDB-associated changes in DNA methylation …
Testing model fit in path models with dependent errors given non-normality, non-linearity and hierarchical data
We provide a generic method of testing path models that include dependent errors,
nonlinear functional relationships and using nonnormal, hierarchically structured data. First …
nonlinear functional relationships and using nonnormal, hierarchically structured data. First …