Results 81 to 90 of about 18,973,572 (296)

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

open access: yesFEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph   +7 more
wiley   +1 more source

Designs for generalized linear models with several variables and model uncertainty [PDF]

open access: yes, 2006
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods   +11 more
core   +1 more source

Using generalized estimating equations with regression splines to improve analysis of butterfly transect data [PDF]

open access: yes, 2008
Surveying animal populations is an important aspect of wildlife management. Distinguishing trend from random fluctuations and quantifying trend are key goals in any analysis.
Brewer, Ciara
core   +2 more sources

Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data

open access: yesActa Scientiarum. Agronomy, 2018
We investigated regression models with mixed effects using generalized linear statistics to evaluate germination data from Stevia rebaudiana (Bert) Bertoni.
Edilenia Queiroz Pereira   +3 more
doaj   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs

open access: yesNeuroImage
Background: Time series analysis is critical for understanding brain signals and their relationship to behavior and cognition. Cluster-based permutation tests (CBPT) are commonly used to analyze a variety of electrophysiological signals including EEG ...
Seth D König   +4 more
doaj   +1 more source

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

open access: yesFEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

Bayesian P-Splines to investigate the impact of covariates on Multiple Sclerosis clinical course [PDF]

open access: yes, 2003
This paper aims at proposing suitable statistical tools to address heterogeneity in repeated measures, within a Multiple Sclerosis (MS) longitudinal study.
Lamina, C.   +3 more
core   +1 more source

Smooth-car mixed models for spatial count data [PDF]

open access: yes, 2008
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Durbán, María, Lee, Dae-Jin
core   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

open access: yesFEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page   +4 more
wiley   +1 more source

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