Exploratory Bivariate Genome-Wide Analysis in Northern Chinese Twins Suggests Potential Loci at 2q33.1 Harboring SPATS2L for Lung Function and Fasting Plasma Glucose [PDF]
Genes (Basel)Zhang X +5 more
europepmc +3 more sources
Genes influencing milk production traits predominantly affect one of four biological pathways
Genetics Selection Evolution, 2008 In this study we introduce a method that accounts for false positive and false negative results in attempting to estimate the true proportion of quantitative trait loci that affect two different traits.
Goddard Michael +2 more
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Analysis of bivariate flow karyotypes [PDF]
Cytometry, 1989 AbstractBivariate flow karyotype analysis is performed using data from chromosomes stained with two fluorescent dyes, typically chromomycin A3 and Hoechst‐33258, and measured in a flow cytometer or cell sorter (Carrano et al.: Proceedings of the National Academy of Sciences of the United States of America 76:1382–1384, 1979; Gray et al.: Proceedings of
P N, Dean, S, Kolla, M A, Van Dilla
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Functional Location-Scale Model to Forecast Bivariate Pollution Episodes
Mathematics, 2020 Predicting anomalous emission of pollutants into the atmosphere well in advance is crucial for industries emitting such elements, since it allows them to take corrective measures aimed to avoid such emissions and their consequences.
Manuel Oviedo-de La Fuente +2 more
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Remote Sensing, 2023 Bivariate data-driven methods have been widely used in landslide susceptibility analysis. However, the names, principles, and correlations of bivariate methods are still confused.
Langping Li, Hengxing Lan
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Bivariate Marker Measurements and ROC Analysis [PDF]
Biometrics, 2012 SummaryThis article considers receiver operating characteristic (ROC) analysis for bivariate marker measurements. The research interest is to extend tools and rules from univariate marker to bivariate marker setting for evaluating predictive accuracy of markers using a tree‐based classification rule. Using an and–or classifier, an ROC function together
Wang, Mei-Cheng, Li, Shanshan
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Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests [PDF]
, 2016 Copula mixed models for trivariate (or bivariate) meta-analysis of diagnostic test accuracy studies accounting (or not) for disease prevalence have been proposed in the biostatistics literature to synthesize information.
Aas K +28 more
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Pesquisa Agropecuária Brasileira, 2006 O objetivo deste trabalho foi estimar as correlações, herdabilidades, repetibilidades, tendências genéticas e fenotípicas, e avaliar as distribuições univariada e bivariada da produção de leite e do intervalo entre partos, em fêmeas bubalinas da raça ...
Alcides de Amorim Ramos +4 more
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Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab Basin) [PDF]
, 2012 Landslides are among the great destructive factors which cause lots of fatalities and financial losses all over the world every year. Studying of the factors affecting occurrence of landslides in a region and zoning the resulting damages will certainly ...
Ahmad, Baharin, Khezri, S., Shahabi, H.
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A Bayesian-Model-Averaging Copula Method for Bivariate Hydrologic Correlation Analysis
Frontiers in Environmental Science, 2022 A Bayesian-model-averaging Copula (i.e., BMAC) approach was proposed for correlation analysis of monthly rainfall and runoff in Xiangxi River watershed, China. The BMAC approach was formulated by incorporating existing Bayesian model averaging (i.e., BMA)
Yizhuo Wen +3 more
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