Zobrazeno 1 - 10
of 660
pro vyhledávání: '"Nicolae, Dan"'
Autor:
Angela Cozma, Adela Viviana Sitar-Tăuț, Olga Hilda Orășan, Violeta Briciu, Daniel Leucuța, Nicolae-Dan Sporiș, Andrada-Luciana Lazăr, Toma-Vlad Mălinescu, Andreea-Maria Ganea, Bianca Mihaela Sporiș, Călin Vasile Vlad, Mihaela Lupșe, Mădălina-Gabriela Țâru, Lucia Maria Procopciuc
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 16, p 8667 (2024)
The COVID-19 pandemic has raised awareness of the virus’s long-term non-pulmonary consequences. This study examined the relationship between genetic polymorphisms of VEGF and cardiac dysfunction and subclinical atherosclerosis in patients recoverin
Externí odkaz:
https://doaj.org/article/f46a66675df7408c8c2edf51c533fc5a
Autor:
Angela Cozma, Adela-Viviana Sitar-Tăut, Olga Hilda Orășan, Daniel Corneliu Leucuța, Tinca-Codruța Pocol, Octavia Sălăgean, Camil Crișan, Nicolae-Dan Sporiș, Andrada-Luciana Lazar, Toma-Vlad Mălinescu, Andreea-Maria Ganea, Călin Vasile Vlad, Melinda Horvat, Mihaela Sorina Lupșe, Violeta Briciu
Publikováno v:
Medicina, Vol 60, Iss 8, p 1359 (2024)
Background and Objectives: The term long COVID refers to patients with a history of confirmed COVID-19 infection, who present symptoms that last for at least 2 months and cannot be explained by another diagnosis. Objectives: The present study aims to
Externí odkaz:
https://doaj.org/article/5cb48b111b1846bc958f158fb0350e70
Autor:
Kim, Tae Hyun, Nicolae, Dan
In many transcriptomic studies, the correlation of genes might fluctuate with quantitative factors such as genetic ancestry. We propose a method that models the covariance between two variables to vary against a continuous covariate. For the bivariat
Externí odkaz:
http://arxiv.org/abs/2104.14695
Motivated by the rising abundance of observational data with continuous treatments, we investigate the problem of estimating the average dose-response curve (ADRF). Available parametric methods are limited in their model space, and previous attempts
Externí odkaz:
http://arxiv.org/abs/2103.07861
Autor:
Nie, Lizhen, Nicolae, Dan L.
We consider the detection and localization of change points in the distribution of an offline sequence of observations. Based on a nonparametric framework that uses a similarity graph among observations, we propose new test statistics when at most on
Externí odkaz:
http://arxiv.org/abs/2103.02680
High throughput metabolomics data are fraught with both non-ignorable missing observations and unobserved factors that influence a metabolite's measured concentration, and it is well known that ignoring either of these complications can compromise es
Externí odkaz:
http://arxiv.org/abs/1909.02644
Autor:
McKennan, Chris, Nicolae, Dan
Many high dimensional and high-throughput biological datasets have complex sample correlation structures, which include longitudinal and multiple tissue data, as well as data with multiple treatment conditions or related individuals. These data, as w
Externí odkaz:
http://arxiv.org/abs/1808.05895
Autor:
Tang, Yunfan, Nicolae, Dan
We introduce a method to identify heritable microbiome communities when the input is a pairwise dissimilarity matrix among all samples. Current methods target each taxon individually and are unable to take advantage of their phylogenetic relationship
Externí odkaz:
http://arxiv.org/abs/1806.02430
Autor:
McKennan, Chris, Nicolae, Dan
An important phenomenon in high dimensional biological data is the presence of unobserved covariates that can have a significant impact on the measured response. When these factors are also correlated with the covariate(s) of interest (i.e. disease s
Externí odkaz:
http://arxiv.org/abs/1801.00865
Autor:
Tang, Yunfan, Nicolae, Dan L.
Quantifying the relation between gut microbiome and body weight can provide insights into personalized strategies for improving digestive health. In this paper, we present an algorithm that predicts weight fluctuations using gut microbiome in a healt
Externí odkaz:
http://arxiv.org/abs/1706.06380