Qunhua Li

Associate Chair, Intercollege Graduate Degree Program in Bioinformatics and Genomics; Associate Professor of Statistics

Qunhua Li

Research Summary

Developing statistical and computational methods for analyzing complex omics data and improving quality and reproducibility of high-throughout data

Huck Graduate Students

Huck Affiliations

Links

Publication Tags

These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.

Genes Gene Expression Brain Reproducibility Chromatin Epigenomics Colon Statistical Models Gene Experiment Citrobacter Rodentium Interleukin 6 High Throughput Vitamin A Modeling Change Point Small Intestine Genome Model Datasets Simulation Extrusion Heterogeneity Protein Regression

Most Recent Publications

Methods to assess the reproducibility and similarity of Hi-C data

Tao 41. Yang, Xi He, Lin An, Qunhua Li,

Learning Robust Representations using a Change Point Framework

Ame 42. Osotsi, Qunhua Li, 2023, The 7th Workshop on Mining and Learning from Time Series (MiLeTS) at KDD 2021 on p. 8

Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M. Saba, Katerina Kechris, 2023, PLoS Computational Biology

Souvik Seal, Qunhua Li, Elle Butler Basner, Laura Saba, Katerina Kechris, 2023, PLoS Computational Biology

H Koch, Cheryl Keller, G Xiang, B Giardine, F Zhang, Y Wang, Ross Hardison, Qunhua Li, 2022, Nature Communications on p. 6874

Roopali Singh, Feipeng Zhang, Qunhua Li, 2022, Statistics in Medicine on p. 1884-1899

Ross C. Hardison, Guanjue Xiang, Camden Jansen, Cheryl A. Keller, Belinda M. Giardine, April Cockburn, Xi He, Michael E. Sauria, Kathryn Weaver, Qunhua Li, Yu Zhang, 2022, FASEB Journal

Zhi Chai, Yafei Lyu, Qiuyan Chen, Cheng Hsin Wei, I.M. Snyder, Lindsay M. Snyder, Veronika Weaver, Aswathy Sebastian, István Albert, Qunhua Li, Margherita T. Cantorna, Catharine Ross, A Ross, 2022, Nutrients on p. 1563

Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experiments

Feipeng Zhang, Qunhua Li, 2022, Biometrics

Methods to Assess the Reproducibility and Similarity of Hi-C Data

Tao Yang, Xi He, Lin An, Qunhua Li, 2022, on p. 17-37

Most-Cited Papers

Tao Yang, Feipeng Zhang, Galip Gürkan Yardımci, Fan Song, Ross C. Hardison, William Stafford Noble, Feng Yue, Qunhua Li, 2017, Genome Research on p. 1939-1949

Galip Gürkan Yardımcı, Hakan Ozadam, Michael E.G. Sauria, Oana Ursu, Koon Kiu Yan, Tao Yang, Abhijit Chakraborty, Arya Kaul, Bryan R. Lajoie, Fan Song, Ye Zhan, Ferhat Ay, Mark Gerstein, Anshul Kundaje, Qunhua Li, James Taylor, Feng Yue, Job Dekker, William S. Noble, 2019, Genome Biology

C. Song, X. Pan, Z. Ge, C. Gowda, Y. Ding, H. Li, Z. Li, G. Yochum, M. Muschen, Q. Li, K. J. Payne, S. Dovat, 2016, Leukemia on p. 1436-1440

Lin An, Tao Yang, Jihao Yang, Johannes Nuebler, Guanjue Xiang, Ross Hardison, Qunhua Li, Yu Zhang, 2019, Genome Biology on p. 1-16

Abigail Sido, Sridhar Radhakrishnan, Sung Woo Kim, Elisabeth Eriksson, Frank Shen, Qunhua Li, Vadiraja Bhat, Lavanya Reddivari, Jairam K.P. Vanamala, 2017, Nutrition Reports International on p. 11-17

Guanjue Xiang, Cheryl A. Keller, Elisabeth Heuston, Belinda M. Giardine, Lin An, Alexander Q. Wixom, Amber Miller, April Cockburn, Michael E.G. Sauria, Kathryn Weaver, Jens Lichtenberg, Berthold Göttgens, Qunhua Li, David Bodine, Shaun Mahony, James Taylor, Gerd A. Blobel, Mitchell J. Weiss, Yong Cheng, Feng Yue, Jim Hughes, Douglas R. Higgs, Yu Zhang, Ross C. Hardison, 2020, Genome Research on p. 472-484

Guanjue Xiang, Cheryl A. Keller, Belinda Giardine, Lin An, Qunhua Li, Yu Zhang, Ross C. Hardison, 2020, Nucleic Acids Research on p. e43

Feipeng Zhang, Qunhua Li, 2017, Journal of Statistical Planning and Inference on p. 41-55

Feipeng Zhang, Qunhua Li, 2017, Computational Statistics and Data Analysis on p. 49-66