Results 281 to 290 of about 1,675,649 (296)

R-Squared (R2) – How much variation is explained?

Research Methods in Medicine & Health Sciences, 2023
Linear regression is a simple yet powerful tool that has been extensively used in all fields where the relationships among variables are of interest.
Jian Gao
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Recent Advances in Oxidative R1-H/R2-H Cross-Coupling with Hydrogen Evolution via Photo-/Electrochemistry.

Chemical Reviews, 2019
Photo-/electrochemical catalyzed oxidative R1-H/R2-H cross-coupling with hydrogen evolution has become an increasingly important issue for molecular synthesis.
Hua-Min Wang, Xin-Long Gao, Zong-Chao Lv, Takfaoui Abdelilah, A. Lei   +4 more
semanticscholar   +1 more source

R2-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

Neural Information Processing Systems
3D Gaussian splatting (3DGS) has shown promising results in image rendering and surface reconstruction. However, its potential in volumetric reconstruction tasks, such as X-ray computed tomography, remains under-explored.
Ruyi Zha, T. Lin, Yuan-Hao Cai, Jiwen Cao, Yanhao Zhang, Hongdong Li   +5 more
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A coefficient of determination (R2) for generalized linear mixed models

Biometrical journal. Biometrische Zeitschrift, 2019
Extensions of linear models are very commonly used in the analysis of biological data. Whereas goodness of fit measures such as the coefficient of determination (R2) or the adjusted R2 are well established for linear models, it is not obvious how such ...
H. Piepho
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Oxidative R1-H/R2-H Cross-Coupling with Hydrogen Evolution.

Journal of the American Chemical Society, 2018
Oxidative R1-H/R2-H cross-coupling with hydrogen evolution serves as one of the most atom-economical methods for constructing new chemical bonds. This reaction strategy avoids substrate prefunctionalization steps in traditional cross-coupling reactions ...
Shan Tang, Li-Zhen Zeng, A. Lei
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Abstract 2490: R2: Genomics analysis and visualization platform

Bioinformatics, Convergence Science, and Systems Biology, 2019
Given the complexity, omics data like RNA-seq are often analyzed by bioinformaticians, and not the wetlab researchers that performed the experiments. With the biomedical researcher (with limited or no bioinformatics skills) in mind as the end-user, we ...
J. Koster, R. Volckmann, D. Zwijnenburg, Piet Molenaar, R. Versteeg   +4 more
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3D texture analyses within the substantia nigra of Parkinson's disease patients on quantitative susceptibility maps and R2* maps

NeuroImage, 2019
Iron accumulation in the substantia nigra (SN) is spatially heterogeneous, yet no study has quantitatively evaluated how the texture of quantitative susceptibility maps (QSM) and R2* might evolve with Parkinson's disease (PD) and healthy controls (HC ...
Gaiying Li, G. Zhai, Xin-Xin Zhao, H. An, P. Spincemaille, K. Gillen, Yixuan Ku, Yi Wang, Dongya Huang, Jianqi Li   +9 more
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A new R2 indicator for better hypervolume approximation

Annual Conference on Genetic and Evolutionary Computation, 2018
In this paper, a new R2 indicator is proposed for better hypervolume approximation. First the fact that the original R2 indicator is not a good approximation for the hypervolume is illustrated by examples.
Ke Shang, H. Ishibuchi, Min-Ling Zhang, Yi-Ping Liu   +3 more
semanticscholar   +1 more source