Results 31 to 40 of about 296,140 (309)

SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data [PDF]

, 2011
In ``-omic data'' analysis, information on the structure of covariates are broadly available either from public databases describing gene regulation processes and functional groups such as the Kyoto encyclopedia of genes and genomes (KEGG), or from ...
Tenenhaus, Arthur, Boulesteix, Anne-Laure, Guillemot, Vincent, Jelizarow, Monika   +3 more
core   +1 more source

Covariance Features for Trajectory Analysis

Elektronika ir Elektrotechnika, 2016
In this work, it is demonstrated that covariance estimator methods can be used for trajectory classification. It is shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. Compared to Dynamic Time Warping, application of explained technique is faster and yields more accurate results.
Karadeniz, Talha, Maras, Hakan Hadi
openaire   +4 more sources

Analysis of Covariance with Qualitative Data [PDF]

The Review of Economic Studies, 1980
This paper deals with data that has a group structure. A simple example in the context of a linear regression model is E(yitlx, 1S, ar) = P'xit + ai (i = 1, ...,9 N; t = 1, ... T), where there are T observations within each of N groups. The ai are group specific parameters.
openaire   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

General balance, combination of information and the analysis of covariance [PDF]

, 1992
A resume is given of the conditions and underlying theory for general balance of an experimental design, paying particular attention to their relationships to the usual linear models for analysis of variance and the marginality relationships between the ...
Tobias, R. D., Payne, R. W.
core  

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units [PDF]

, 2023
The size and complexity of datasets resulting from comparative research experiments in the agricultural domain is constantly increasing. Often the number of variables measured in an experiment exceeds the number of experimental units composing the ...
Nazarathy, Yoni, Benjamin L. Schulz, Yousif, Adel, Kelly, Alison M., Forknall, Clayton R., Sarah Osama, Verbyla, Arūnas P., Forknall, Clayton R, Verbyla, Arunas P, Kerr, Edward, Arūnas P. Verbyla, Glen P. Fox, Yoni Nazarathy, Adel Yousif, Osama, Sarah, Jones, Shirley H., Jones, Shirley H, Schulz, Benjamin L., Alison M. Kelly, Fox, Glen P., Edward Kerr, Fox, Glen P, Clayton R. Forknall, Kelly, Alison M, Shirley H. Jones, Schulz, Benjamin L   +25 more
core   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown, Giulia Carli, Prabesh Kanel, Stiven Roytman, Jaimie Barr, Nicolaas I. Bohnen, Roger L. Albin   +6 more
wiley   +1 more source

Knowledge-Aided Structured Covariance Matrix Estimator Applied for Radar Sensor Signal Detection

Sensors, 2019
This study deals with the problem of covariance matrix estimation for radar sensor signal detection applications with insufficient secondary data in non-Gaussian clutter. According to the Euclidean mean, the authors combined an available prior covariance
Naixin Kang, Zheran Shang, Qinglei Du
doaj   +1 more source

A New Approach for Nonlinear Transformation of Means and Covariances in Direct Statistical Analysis of Nonlinear Systems

IEEE Access, 2021
Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system. Aiming at the faultiness of covariance analysis describing function technique and its improved method ...
Quancheng Li, Yonghua Fan, Hongyang Xu, Xuechao Liang, Jie Yan   +4 more
doaj   +1 more source