GWAsimulator: a rapid whole-genome simulation program. - Chun Li; Mingyao Li (Bioinform., 2008)

ATOM: a powerful gene-based association test by combining optimally weighted markers. - Mingyao Li; Kai Wang 049; Struan F. A. Grant; Hakon Hakonarson; Chun Li (Bioinform., 2009)

Correcting population stratification in genetic association studies using a phylogenetic approach. - Mingyao Li; Muredach P. Reilly; Daniel J. Rader; Li-San Wang (Bioinform., 2010)

Interrogating local population structure for fine mapping in genome-wide association studies. - Huaizhen Qin; Nathan Morris; Sun J. Kang; Mingyao Li; Bamidele Tayo; Helen Lyon; Joel Hirschhorn; Richard S. Cooper; Xiaofeng Zhu 003 (Bioinform., 2010)

Adjustment for local ancestry in genetic association analysis of admixed populations. - Xuexia Wang; Xiaofeng Zhu 003; Huaizhen Qin; Richard S. Cooper; Warren J. Ewens; Chun Li; Mingyao Li (Bioinform., 2011)

A semi-informative aware approach using topic model for medical search. - Qinmin Vivian Hu; Liang He 001; Mingyao Li; Jimmy Xiangji Huang; E. Mark Haacke (BIBM, 2014)

DISSCO: direct imputation of summary statistics allowing covariates. - Zheng Xu 010; Qing Duan; Song Yan; Wei Chen 074; Mingyao Li; Ethan M. Lange; Yun Li (Bioinform., 2015)

MetaDiff: differential isoform expression analysis using random-effects meta-regression. - Cheng Jia; Weihua Guan; Amy Yang; Rui Xiao 001; W. Tang; Christine Moravec; Kenneth Margulies; Thomas P. Cappola; Mingyao Li; Chun Li (BMC Bioinform., 2015)

MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data. - Gabriel H. Murillo; Na You; Xiaoquan Su; Wei Cui; Muredach P. Reilly; Mingyao Li; Kang Ning 001; Xinping Cui (Bioinform., 2016)

Joint analysis of spikes and local field potentials using copula. - Meng Hu; Mingyao Li; Wu Li; Hualou Liang (NeuroImage, 2016)

PennDiff: detecting differential alternative splicing and transcription by RNA sequencing. - Yu Hu 014; Jennie Lin; Jian Hu; Gang Hu; Kui Wang; Hanrui Zhang 004; Muredach P. Reilly; Mingyao Li (Bioinform., 2018)

Association between basilar artery configuration and Vessel Wall features: a prospective high-resolution magnetic resonance imaging study. - Ziqi Xu; Mingyao Li; Zhikai Hou; Jinhao Lyu; Na Zhang; Xin Lou; Zhongrong Miao; Ning Ma (BMC Medical Imaging, 2019)

An Recognition-Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion. - Fei Wang 048; Shusen Zhao; Xingqun Zhou; Chen Li; Mingyao Li; Zhen Zeng (Sensors, 2019)

Skin Cancer Diagnosis Based on Support Vector Machine and a New Optimization Algorithm. - Mingyao Li; Changyuan Han; Fadia Fahim (J. Medical Imaging Health Informatics, 2020)

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis. - Jian Hu; Xiangjie Li; Gang Hu; Yafei Lyu; Katalin Susztak; Mingyao Li (Nat. Mach. Intell., 2020)

Detecting differential alternative splicing events in scRNA-seq with or without Unique Molecular Identifiers. - Yu Hu 014; Kai Wang 049; Mingyao Li (PLoS Comput. Biol., 2020)

MuSiC2: cell-type deconvolution for multi-condition bulk RNA-seq data. - Jiaxin Fan; Yafei Lyu; Qihuang Zhang; Xuran Wang; Mingyao Li; Rui Xiao (Briefings Bioinform., 2022)

Omnibus and robust deconvolution scheme for bulk RNA sequencing data integrating multiple single-cell reference sets and prior biological knowledge. - Chixiang Chen; Yuk Yee Leung; Matei Ionita; Li-San Wang; Mingyao Li (Bioinform., 2022)

A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation. - Justin Lakkis; Amelia Schroeder; Kenong Su; Michelle Y. Y. Lee; Alexander C. Bashore; Muredach P. Reilly; Mingyao Li (Nat. Mac. Intell., 2022)

Revealing Schematic Map Designs with Preservation of Relativity in Node Position and Segment Length in Existing Official Maps. - Peng Ti; Hao Wu; Zhilin Li 001; Mingyao Li; Ruyu Dai; Tao Xiong (ISPRS Int. J. Geo Inf., 2023)

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. - Fengling Hu; Andrew A. Chen; Hannah Horng; Vishnu Bashyam; Christos Davatzikos; Aaron Alexander-Bloch; Mingyao Li; Haochang Shou; Theodore D. Satterthwaite; Meichen Yu; Russell T. Shinohara (NeuroImage, 2023)

Comparative Analysis of Various Machine Learning Techniques for Rockburst Risk Prediction. - Hongtao Yu; Mingyao Li; Haohan Xiao; Ruilang Cao (CNML, 2024)

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning. - Sheng Chen; Peiyu He; Jiaxin Hu; Ziyang Liu; Yansheng Wang; Tao Xu; Chi Zhang; Chongchong Zhang; Chao An; Shiyu Cai; Duo Cao; Kangping Chen; et al. (CoRR, 2025)