Results 91 to 100 of about 3,032,172 (354)
Advanced Science, EarlyView.scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley +1 more source
Bayesian quantile regression for streaming data
AIMS MathematicsQuantile regression has been widely used in many fields because of its robustness and comprehensiveness. However, it remains challenging to perform the quantile regression (QR) of streaming data by a conventional methods, as they are all based on the ...
Zixuan Tian, Xiaoyue Xie , Jian Shi
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Power Prior Elicitation in Bayesian Quantile Regression
Journal of Probability and Statistics, 2011 We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of ...
Rahim Alhamzawi, Keming Yu
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Probabilistic Solar Forecasting Using Quantile Regression Models
Energies, 2017 In this work, we assess the performance of three probabilistic models for intra-day solar forecasting. More precisely, a linear quantile regression method is used to build three models for generating 1 h–6 h-ahead probabilistic forecasts. Our approach is
Philippe Lauret +2 more
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Multistate quantile regression models [PDF]
Statistics in Medicine, 2019 We develop regression methods for inference on conditional quantiles of time‐to‐transition in multistate processes. Special cases include survival, recurrent event, semicompeting, and competing risk data. We use an ad hoc representation of the underlying stochastic process, in conjunction with methods for censored quantile regression.
Alessio Farcomeni, Marco Geraci
openaire +5 more sources
Advanced Science, EarlyView.ABSTRACT Organoid research offers valuable insights into human biology and disease, but reproducibility and scalability remain significant challenges, particularly for epithelial organoids. Here, we present an integrated microfluidic platform that addresses these limitations by enabling high‐throughput generation of uniform hydrogel microparticles ...
Barbora Lavickova +8 more
wiley +1 more source
Unit-Modified Weibull Distribution and Quantile Regression Model [PDF]
Anais da Academia Brasileira de CiênciasThe Sustainable Development Goals (SDGs) of the United Nations consist of 17 general objectives, subdivided into 169 targets to be achieved by 2030. Several SDG indices and indicators require continuous analysis and evaluation, and most of these indices ...
JOÃO INÁCIO SCRIMINI +3 more
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Genome‐Wide Association Analyses Reveal the Genetic Basis of EMS Mutagenesis Efficiency in Rice
Advanced Science, EarlyView.Based on large‐scale screening of 420 rice accessions, GWAS identified the Rc locus as a key regulator of EMS mutagenesis efficiency. Functional Rc alleles enhance both seed survival and genome‐wide mutation frequency by boosting antioxidant enzyme activities (CAT, SOD, POD) and reducing oxidative damage.
Peizhou Xu +9 more
wiley +1 more source
EFEKTIVITAS REGRESI KUANTIL DALAM MENGATASI PONTENSIAL PENCILAN
Barekeng, 2020 Quantile regression as a robust regression method can be used to overcome the impact of unusual cases on regression estimates such as the presence of potential outliers in the data.
Netti Herawati
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