Results 101 to 110 of about 2,542,650 (299)

Quantile Regression with Classical Additive Measurement Errors [PDF]

This note derives the bias of the quantile regression estimator in the presence of classical additive measurement error, and show its connection to least squares models.
Gabriel Montes-Rojas
core  

Multi‐Layer Transcriptomic Comparison Across Human, Pig, and Mouse Informs Tissue‐ and Trait‐Specific Animal Model Selection

Advanced Science, EarlyView.
We integrated RNA‐seq data from humans, pigs, and mice across 15 matched tissues based on 14 910 one‐to‐one orthologous genes. Cross‐species similarity was systematically evaluated across multiple regulatory layers, including global co‐expression conservation, co‐expression networks, tissue‐specific programs, and 3D genome architecture.
Jingwen Dou, Yong Liao, Xiong Shen, Xin Huang, Zhenshuang Tang, Yuwei Gou, Huajun Zhou, Jingya Xu, Hong Liu, Yue Wang, Keke Liang, Jia Liu, Xiao Zhang, Chenyao Li, Shangjian Wang, Liangliang Fu, Lilin Yin, Xinyun Li, Shuhong Zhao, Xiaolei Liu, Jingjin Li, Yuhua Fu   +21 more
wiley   +1 more source

Efficient quantile regression for heteroscedastic models [PDF]

, 2015
Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al.
MacEachern, Steve N,, Lee, Yoonkyung, Jung, Yoonsuh, Steven N. Maceachern, MacEachern, Steven N., Yoonsuh Jung, Yoonkyung Lee, Yoonsuh Jung (111157), Yoonkyung Lee (643212), Steven N. MacEachern (638105)   +9 more
core   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source

TWO-STAGE QUANTILE REGRESSION WHEN THE FIRST STAGE IS BASED ON QUANTILE REGRESSION [PDF]

We present the asymptotic properties of double-stage quantile regression estimators with random regressors, where the first stage is based on quantile regressions with the same quantile as in the second stage, which ensures robustness of the estimation ...
Tae-Hwan Kim, Christophe Muller
core  

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]

, 2009
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas, Hothorn, Torsten, Fenske, Nora   +2 more
core   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 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
doaj   +1 more source

Serial H&E Pathology Reveals Progression‐Associated Nuclear Size Drift as a Longitudinal Digital Readout of Bladder Cancer Evolution

Advanced Science, EarlyView.
Routine serial H&E specimens from bladder cancer are converted into paired T0/T1 digital pathology readouts of tumor evolution. Progression is associated with longitudinal nuclear drift, with nuclear size‐related changes most evident in the independent confirmation cohort, alongside a broader spatial burden of increased nuclear area and biological ...
Xing Liu, Zhen‐Duo Shi, Gong‐Cheng Wang, Jian‐Ming Wang, Ying Liu, Yi Gong, Xuan Lin, Di Wu, Shi‐Chao Zhuo, Han Han, Yi‐Bing Shi, Fan‐Lai Meng, Yu Zhang, Zhi‐Gang Jia, Cong‐Hui Han   +14 more
wiley   +1 more source

Intelligent Field‐Adaptive Electrohydrodynamic Printing for Curved Conformal Electronics

Advanced Science, EarlyView.
To mitigate residual‐charge accumulation and spatial electric‐field variations during electrohydrodynamic printing on curved insulating substrates, an intelligent field‐adaptive framework combines alternating‐electric‐field modulation, equivalent electrical gap characterization, and machine‐learning‐guided parameter inversion and pathwise regulation ...
Chang Liu, Yiwen Feng, Xu Chen, Kaiwen Chen, Ran Zhang, Xiaopeng Zhang, Liujia Suo, Xiangji Chen, Zefei Li, Fengshu Wang, Ruixuan Xu, Shuaiwu Liu, Shiwen Liang, Lingjie Kong, Dazhi Wang   +14 more
wiley   +1 more source