Results 51 to 60 of about 3,771,811 (275)

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

SNP variable selection by generalized graph domination.

open access: yesPLoS ONE, 2019
BACKGROUND:High-throughput sequencing technology has revolutionized both medical and biological research by generating exceedingly large numbers of genetic variants.
Shuzhen Sun   +7 more
doaj   +1 more source

An application of Bayesian variable selection to international economic data [PDF]

open access: yes, 2017
Master's Project (M.S.) University of Alaska Fairbanks, 2017GDP plays an important role in people's lives. For example, when GDP increases, the unemployment rate will frequently decrease.
Tian, Xiang
core  

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

Joint Variable Selection and Classification with Immunohistochemical Data

open access: yesBiomarker Insights, 2009
To determine if candidate cancer biomarkers have utility in a clinical setting, validation using immunohistochemical methods is typically done. Most analyses of such data have not incorporated the multivariate nature of the staining profiles.
Debashis Ghosh, Ratna Chakrabarti
doaj  

Two-step variable selection in quantile regression models

open access: yes上海师范大学学报. 自然科学版, 2015
We propose a two-step variable selection procedure for high dimensional quantile regressions, in which the dimension of the covariates, pn is much larger than the sample size n.
FAN Yali
doaj   +1 more source

Characteristic wavelength selection of volatile organic compounds infrared spectra based on improved interval partial least squares [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2019
As important components of air pollutant, volatile organic compounds (VOCs) can cause great harm to environment and human body. The concentration change of VOCs should be focused on in real-time environment monitoring system.
Wei Ju   +6 more
doaj   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle   +5 more
wiley   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior   +7 more
wiley   +1 more source

Feature and Variable Selection in Classification [PDF]

open access: yes, 2014
The amount of information in the form of features and variables avail- able to machine learning algorithms is ever increasing. This can lead to classifiers that are prone to overfitting in high dimensions, high di- mensional models do not lend themselves
Karper, Aaron
core  

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