Qunhua Li

发表

Segmented correspondence curve regression model for quantifying reproducibility of high-throughput experiments

Feipeng Zhang, Frank Shen, Tao Yang, 2018, 1807.00943.

powerTCR: A model-based approach to comparative analysis of the clone size distribution of the T cell receptor repertoire

Qunhua Li, Hillary Koch, Dmytro Starenki, 2018, bioRxiv.

A likelihood-based scoring method for peptide identification using mass spectrometry

Qunhua Li, Matthew Stephens, Jimmy K. Eng, 2012, 1301.2467.

A semi-parametric statistical model for integrating gene expression profiles across different platforms

Qunhua Li, Yafei Lyu, Qunhua Li, 2016, BMC Bioinformatics.

Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network

Katerina Kechris, Feipeng Zhang, Qunhua Li, 2018, bioRxiv.

Modes of inference for evaluating the confidence of peptide identifications.

Qunhua Li, Matt Fitzgibbon, Martin McIntosh, 2008, Journal of proteome research.

Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments

Qunhua Li, Debashis Ghosh, Yafei Lyu, 2018, Journal of the American Statistical Association.

Measuring the reproducibility and quality of Hi-C data

Mark Gerstein, Tao Yang, Ye Zhang, 2017 .

A statistical framework for measuring reproducibility and replicability of high-throughput experiments from multiple sources

Qunhua Li, Hillary Koch, Yafei Lyu, 2019, bioRxiv.

Donuts, scratches and blanks: robust model-based segmentation of microarray images

Adrian E. Raftery, Ka Yee Yeung, Qunhua Li, 2005, Bioinform..

Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data

Jie Zhang, Tao Liu, Qunhua Li, 2013, PLoS Comput. Biol..

A regression framework for assessing covariate effects on the reproducibility of high-throughput experiments.

Feipeng Zhang, Qunhua Li, 2018, Biometrics.

High-dimensional association detection in large scale genomic data

Qunhua Li, Hillary Koch, Yicheng Wang, 2020, bioRxiv.

Individualized Modeling to Distinguish Between High and Low Arousal States Using Physiological Data

Qunhua Li, Joshua M. Smyth, Timothy R. Brick, 2020, Journal of Healthcare Informatics Research.

Condition-adaptive fused graphical lasso (CFGL): an adaptive procedure for inferring condition-specific gene co-expression network

Katerina Kechris, Feipeng Zhang, Qunhua Li, 2018 .

A continuous threshold expectile model

Feipeng Zhang, Qunhua Li, Qunhua Li, 2016, Comput. Stat. Data Anal..