Results 81 to 90 of about 17,400 (155)

Additional file 1 of Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

Supplementary Material 1.
Zablocki, Rong W., Hartman, Sheri J., Di, Chongzhi, Zou, Jingjing, Carlson, Jordan A., Hibbing, Paul R., Rosenberg, Dori E., Greenwood-Hickman, Mikael Anne, Dillon, Lindsay, LaCroix, Andrea Z., Natarajan, Loki   +10 more
openaire   +1 more source

Bayesian integration of longitudinal and survival outcomes in Alzheimer's disease prediction

Alzheimer's &Dementia, Volume 21, Issue 9, September 2025.
Abstract INTRODUCTION Accurate prediction of Alzheimer's disease (AD) dementia onset and progression to mild cognitive impairment (MCI) is crucial for early intervention and clinical trial design. This study presents a predictive framework leveraging Bayesian model averaging (BMA) with a multivariate functional mixed model (MFMM) to integrate ...
Haotian Zou, Michael W. Lutz, Kathleen Welsh‐Bohmer, Sheng Luo   +3 more
wiley   +1 more source

Exploring the Single‐Cell Dynamics of FOXM1 Under Cell Cycle Perturbations

Cell Proliferation, Volume 58, Issue 8, August 2025.
The varied FOXM1 dynamic patterns reveal significant differences in cellular responses to the same stimuli at the single‐cell level. This emphasises the relationship between cue, signal and response as influenced by different drug types and concentrations.
Tooba Jawwad, Maliwan Kamkaew, Kriengkrai Phongkitkarun, Porncheera Chusorn, Supawan Jamnongsong, Eric W.‐F. Lam, Somponnat Sampattavanich   +6 more
wiley   +1 more source

EXPLORATORY ANALYSIS OF REGIONALIZED VARIABLES WITH FUNCTIONAL METHODS ANÁLISIS EXPLORATORIO DE VARIABLES REGIONALIZADAS CON MÉTODOS FUNCIONALES

Revista Colombiana de Estadística, 2007
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables.
Giraldo Ramón
doaj  

Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres

, 2017
Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case.
Dai, Xiongtao, Müller, Hans-Georg
core  

Análisis exploratorio de variables regionalizadas con métodos funcionales Exploratory Analysis of Regionalized Variables with Functional Methods

Revista Colombiana de Estadística, 2007
Se muestra cómo las estadísticas descriptivas funcionales y el análisis en componentes principales funcional (ACPF) pueden emplearse en la evaluación empírica del supuesto de estacionariedad considerado en la modelación de variables regionalizadas.
RAMÓN GIRALDO
doaj  

Predefined and data-driven CT radiomics predict recurrence-free and overall survival in patients with pulmonary metastases treated with stereotactic body radiotherapy.

PLoS ONE
BackgroundThis retrospective study explores two radiomics methods combined with other clinical variables for predicting recurrence free survival (RFS) and overall survival (OS) in patients with pulmonary metastases treated with stereotactic body ...
Pascal Salazar, Patrick Cheung, Balaji Ganeshan, Anastasia Oikonomou   +3 more
doaj   +1 more source

Nonparametric modeling and forecasting electricity demand: an empirical study [PDF]

This paper uses half-hourly electricity demand data in South Australia as an empirical study of nonparametric modeling and forecasting methods for prediction from half-hour ahead to one year ahead.
Han Lin Shang
core  

SpaFun: discovering domain-specific spatial expression patterns and new disease-relevant genes using functional principal component analysis. [PDF]

Brief Bioinform
Jiang X, Guo Y, Guo L, Zhong L, Wang J, Xiao G, Li Q, Xu L.   +7 more
europepmc   +1 more source

Application of functional regression in biomechanical assessment of neck disability: Selection of clinically relevant variables. [PDF]

PLoS One
Aragón-Basanta E, Ayala G, Serra-Añó P, Page Á.   +3 more
europepmc   +1 more source