Results 81 to 90 of about 910,963 (262)
Analysis of Covariance With Qualitative Data [PDF]
In data with a group structure, incidental parameters are included to control for missing variables. Applications include longitudinal data and sibling data.
Gary Chamberlain
core
Sleep Alters the Velocity of Physiological Brain Pulsations in Humans
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy +13 more
wiley +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Development and verification of covariance data generation module in NECP-Atlas
BackgroundThe quantification of uncertainty has become a common requirement in reactor physics analysis whilst the covariance data of nuclear data serves as the foundational data for conducting uncertainty quantification.PurposeThis study aims to develop
HUANG Yihan +3 more
doaj +1 more source
Exclusive breastfeeding establishes a thermogenic memory in brown adipose tissue by activating the HIF1AN/AMPK/α‐ketoglutarate axis via milk‐derived extracellular vesicles enriched in miR‐125a‐5p. This programming preserves metabolic health, while αKG supplementation restores BAT function under mixed feeding, offering strategies to mitigate the ...
Ningxi Wu +13 more
wiley +1 more source
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao +18 more
wiley +1 more source
Application of student's t-test, analysis of variance, and covariance
Student's t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups.
Prabhaker Mishra +4 more
doaj +1 more source
SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai +12 more
wiley +1 more source
A covariance analysis method is described to solve the problem of estimating the dynamics of the relationship between two non-stationary time series, represented by behavioral and/or physiological data.
V.V. Apanovich, D.L. Gladilin
doaj +1 more source
Author Correction: Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold. [PDF]
Anglès F, Wang C, Balch WE.
europepmc +1 more source

