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Qunhua Li

Showing results (1-10 of 40) with videos related to

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Biometrics|December 2, 2017
A regression framework for assessing covariate effects on the reproducibility of high-throughput experimentsQunhua Li, Feipeng Zhang
BMC Bioinformatics|January 29, 2016
A semi-parametric statistical model for integrating gene expression profiles across different platformsYafei Lyu, Qunhua Li
Biometrics|September 3, 2022
Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experimentsFeipeng Zhang, Qunhua Li
Scientific Reports|February 20, 2025
METTL3 promotes the progression of non-alcoholic fatty liver disease by mediating m6A methylation of FASQunhua Li, Junying Xiang
Journal of Statistical Planning and Inference|September 26, 2017
Robust bent line regressionFeipeng Zhang, Qunhua Li
Computational Statistics & Data Analysis|December 20, 2017
A Continuous Threshold Expectile ModelFeipeng Zhang, Qunhua Li
Statistics in Medicine|February 18, 2022
Assessing reproducibility of high-throughput experiments in the case of missing dataRoopali Singh, Feipeng Zhang, Qunhua Li
Journal of Proteome Research|December 11, 2007
Modes of inference for evaluating the confidence of peptide identificationsMatt Fitzgibbon, Qunhua Li, Martin McIntosh
Statistics in Medicine|February 4, 2026
A Statistical Framework for Measuring Reproducibility and Replicability of High-Throughput Experiments From Multiple SourcesMonia Ranalli, Yafei Lyu, Hillary Koch, et al.
Journal of the American Statistical Association|June 29, 2019
Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate ExperimentsDaisy Philtron, Yafei Lyu, Qunhua Li, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Biometrics|December 2, 2017
A regression framework for assessing covariate effects on the reproducibility of high-throughput experimentsQunhua Li, Feipeng Zhang
BMC Bioinformatics|January 29, 2016
A semi-parametric statistical model for integrating gene expression profiles across different platformsYafei Lyu, Qunhua Li
Biometrics|September 3, 2022
Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experimentsFeipeng Zhang, Qunhua Li
Scientific Reports|February 20, 2025
METTL3 promotes the progression of non-alcoholic fatty liver disease by mediating m6A methylation of FASQunhua Li, Junying Xiang
Journal of Statistical Planning and Inference|September 26, 2017
Robust bent line regressionFeipeng Zhang, Qunhua Li
Computational Statistics & Data Analysis|December 20, 2017
A Continuous Threshold Expectile ModelFeipeng Zhang, Qunhua Li
Statistics in Medicine|February 18, 2022
Assessing reproducibility of high-throughput experiments in the case of missing dataRoopali Singh, Feipeng Zhang, Qunhua Li
Journal of Proteome Research|December 11, 2007
Modes of inference for evaluating the confidence of peptide identificationsMatt Fitzgibbon, Qunhua Li, Martin McIntosh
Statistics in Medicine|February 4, 2026
A Statistical Framework for Measuring Reproducibility and Replicability of High-Throughput Experiments From Multiple SourcesMonia Ranalli, Yafei Lyu, Hillary Koch, et al.
Journal of the American Statistical Association|June 29, 2019
Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate ExperimentsDaisy Philtron, Yafei Lyu, Qunhua Li, et al.
Pageof 4