Zobrazeno 1 - 10
of 691
pro vyhledávání: '"Nicolae, Dan"'
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
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
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
Akademický článek
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Akademický článek
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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