Results 31 to 40 of about 2,771,485 (258)
A method for analyzing censored survival phenotype with gene expression data
BMC Bioinformatics, 2008 Background Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles and survival time.
Chen Chun-Houh +4 more
doaj +1 more source
Local linear regression for functional predictor and scalar response [PDF]
, 2007 The aim of this work is to introduce a new nonparametric regression technique in the context of functional covariate and scalar response. We propose a local linear regression estimator and study its asymptotic behaviour.
Baíllo, Amparo, Grané Chávez, Aurea
core +1 more source
PLoS ONE, 2014 CRC cancer is one of the deadliest diseases in Western countries. In order to develop prognostic biomarkers for CRC (colorectal cancer) aggressiveness, we analyzed retrospectively 267 CRC patients via a novel, multidimensional biomarker platform.
Marisa Mariani +9 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
An Asymptotic Theory for Sliced Inverse Regression
The Annals of Statistics, 1992 Sliced inverse regression is a nonparametric method for achieving dimension reduction in regression problems. It is assumed that the conditional distribution of response \(Y\) given predictors \(X\) depends only on \(K\) linear combinations of \(X\).
Hsing, Tailen, Carroll, Raymond J.
openaire +2 more sources
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
On Sliced Inverse Regression [PDF]
, 2009 In statistics, dimension reduction is a method to reduce the number of variables, which will then be considered in the future analysis of the data. Often the new variables are just suitably chosen linear combinations of the original variables X1, ...,Xp.
LISKI, EERO
core
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
A sliced inverse regression approach for data stream [PDF]
Computational Statistics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chavent, Marie +5 more
openaire +6 more sources