Results 71 to 80 of about 11,201,470 (335)
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies
Whole transcriptome studies typically yield large amounts of data, with expression values for all genes or transcripts of the genome. The search for genes of interest in a particular study setting can thus be a daunting task, usually relying on automated
Stephane Wenric +2 more
doaj +1 more source
Recent Advances on Penalized Regression Models for Biological Data
Increasingly amounts of biological data promote the development of various penalized regression models. This review discusses the recent advances in both linear and logistic regression models with penalization terms.
Pei Wang, Shunjie Chen, Sijia Yang
doaj +1 more source
Good genes sexual selection in nature [PDF]
Whether the mate sampling and choice performed by females in nature influences offspring performance is a controversial issue in theory and an open empirical question. Pronghorn ( Antilocapra americana ) females engage in an obvious and energetically expensive mate sampling process to ...
John A, Byers, Lisette, Waits
openaire +2 more sources
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer
Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different ...
José Antonio CASTELLANOS GARZÓN +1 more
doaj +1 more source
Reference gene selection and RNA preservation protocol in the cat flea, Ctenocephalides felis, for gene expression studies [PDF]
This work was supported by a Knowledge Transfer Network BBSRC Industrial Case (#414 BB/L502467/1) studentship in association Zoetis Inc.Peer ...
Baird, John +5 more
core +1 more source
A novel gene selection algorithm for cancer classification using microarray datasets
Microarray datasets are an important medical diagnostic tool as they represent the states of a cell at the molecular level. Available microarray datasets for classifying cancer types generally have a fairly small sample size compared to the large number ...
Russul Alanni +3 more
semanticscholar +1 more source
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
iRGvalid: A Robust in silico Method for Optimal Reference Gene Validation
BackgroundAppropriate reference genes are critical to accurately quantifying relative gene expression in research and clinical applications. Numerous efforts have been made to select the most stable reference gene(s), but a consensus has yet to be ...
Zhongxu Zhu, Keqin Gregg, Wenli Zhou
doaj +1 more source

