Results 51 to 60 of about 1,022,045 (334)

A multivariate empirical Bayes statistic for replicated microarray time course data

open access: yes, 2007
In this paper we derive one- and two-sample multivariate empirical Bayes statistics (the $\mathit{MB}$-statistics) to rank genes in order of interest from longitudinal replicated developmental microarray time course experiments.
Speed, Terence P., Tai, Yu Chuan
core   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi   +26 more
wiley   +1 more source

Saddlepoint approximations for likelihood ratio like statistics with applications to permutation tests

open access: yes, 2012
We obtain two theorems extending the use of a saddlepoint approximation to multiparameter problems for likelihood ratio-like statistics which allow their use in permutation and rank tests and could be used in bootstrap approximations.
Kolassa, John, Robinson, John
core   +1 more source

Optimal and fast detection of spatial clusters with scan statistics [PDF]

open access: yes, 2010
We consider the detection of multivariate spatial clusters in the Bernoulli model with $N$ locations, where the design distribution has weakly dependent marginals.
Walther, Guenther
core   +2 more sources

Plasma lipidomic and metabolomic profiles in high‐grade glioma patients before and after 72‐h presurgery water‐only fasting

open access: yesMolecular Oncology, EarlyView.
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé   +7 more
wiley   +1 more source

Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE).
Veljko Uskoković   +3 more
doaj   +1 more source

Wearable Electromagnetic Belt for Steatotic Liver Detection Using Multivariate Energy Statistics

open access: yesIEEE Access, 2020
A wearable electromagnetic belt system for the detection of hepatic steatosis (lipid accumulation within the major liver cells, hepatocytes), is proposed. To satisfy the requirements of the belt system, an array of body matched antennas is designed.
Sasan Ahdi Rezaeieh   +7 more
doaj   +1 more source

Multi-tract multi-symptom relationships in pediatric concussion

open access: yeseLife, 2022
Background: The heterogeneity of white matter damage and symptoms in concussion has been identified as a major obstacle to therapeutic innovation. In contrast, most diffusion MRI (dMRI) studies on concussion have traditionally relied on group-comparison ...
Guido I Guberman   +6 more
doaj   +1 more source

False discovery rate control with multivariate $p$-values

open access: yes, 2008
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also positive FDR (pFDR) with good power.
Chi, Zhiyi
core   +2 more sources

Robust graphical modeling of gene networks using classical and alternative T-distributions [PDF]

open access: yes, 2011
Graphical Gaussian models have proven to be useful tools for exploring network structures based on multivariate data. Applications to studies of gene expression have generated substantial interest in these models, and resulting recent progress includes ...
Drton, Mathias, Finegold, Michael
core   +1 more source

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