Results 61 to 70 of about 194,005 (326)

A goodness of fit measure related to r² for model performance assessment [PDF]

, 2013
Checking the predictive worth of an environmental model inevitably includes a goodness of fit metric to quantify the degree of matching to recorded data, thereby giving a measure of model performance. Considerable analysis and discussion have taken place
Bardsley, W. Earl
core   +2 more sources

A rapid method for computing the inverse of the gametic covariance matrix between relatives for a marked Quantitative Trait Locus

Genetics Selection Evolution, 2001
The inverse of the gametic covariance matrix between relatives, G-1, for a marked quantitative trait locus (QTL) is required in best linear unbiased prediction (BLUP) of breeding values if marker data are available on a QTL.
Freeman Albert E, Abdel-Azim Gamal
doaj   +1 more source

Genomic Prediction Accuracy Using Haplotypes Defined by Size and Hierarchical Clustering Based on Linkage Disequilibrium

Frontiers in Genetics, 2020
Genomic prediction is an effective way to estimate the genomic breeding values from genetic information based on statistical methods such as best linear unbiased prediction (BLUP). The used of haplotype, clusters of linked single nucleotide polymorphism (
Sohyoung Won, Jong-Eun Park, Ju-Hwan Son, Seung-Hwan Lee, Byeong Ho Park, Mina Park, Won-Chul Park, Han-Ha Chai, Heebal Kim, Jungjae Lee, Dajeong Lim   +10 more
doaj   +1 more source

Accounting for genetic architecture improves sequence based genomic prediction for a Drosophila fitness trait. [PDF]

PLoS ONE, 2015
The ability to predict quantitative trait phenotypes from molecular polymorphism data will revolutionize evolutionary biology, medicine and human biology, and animal and plant breeding.
Ulrike Ober, Wen Huang, Michael Magwire, Martin Schlather, Henner Simianer, Trudy F C Mackay   +5 more
doaj   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Small area estimation for spatially correlated populations - a comparison of direct and indirect model-based methods [PDF]

, 2007
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models
Chambers, Ray, Chandra, Hukum, Salvati, Nicola   +2 more
core   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

Genome-wide Association Study (GWAS) and Its Application for Improving the Genomic Estimated Breeding Values (GEBV) of the Berkshire Pork Quality Traits [PDF]

Asian-Australasian Journal of Animal Sciences, 2015
The missing heritability has been a major problem in the analysis of best linear unbiased prediction (BLUP). We introduced the traditional genome-wide association study (GWAS) into the BLUP to improve the heritability estimation.
Young-Sup Lee, Hyeonsoo Jeong, Mengistie Taye, Hyeon Jeong Kim, Sojeong Ka, Youn-Chul Ryu, Seoae Cho   +6 more
doaj   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Analytic and bootstrap approximations of prediction errors under a multivariate fay-herriot model [PDF]

, 2005
A Multivariate Fay-Herriot model is used to aid the prediction of small area parameters of dependent variables with sample data aggregated to area level.
González Manteiga, Wenceslao, Lombardía, Maria J., Molina, Isabel, Morales, Domingo, Santamaría, Laureano   +4 more
core   +1 more source