毛善骏｜湖南大学｜学者主页

期刊论文

2026

CTSM: A novel cumulative-time-based stacking algorithm for predicting sepsis onset

Xingyu Liu, Sixuan Liu, Wencan He, Shanjun Mao

Biomedical Signal Processing and Control

DOI

2026

Frailty prediction models in older adults with stroke in China: A systematic review and meta-analysis

Lifang Huang, Juan Zhang, Shanjun Mao, Rulei Ding, Lan Luo, Guilin Shen, kun Sun

International Journal of Nursing Studies Advances

DOI

2026

Network-phenotype key gene screening (NPKG) identifies therapeutically relevant targets for neurodegenerative diseases

Yizhu Diao, Jiaxin Li, Chenxu Gao, Hai Fang, Shanjun Mao

Genes & Diseases

DOI

2026

A Geometric Statistic for Quantifying the Spatial-Temporal Association in Cell Lineage Gene Expression Tree

Shanjun Mao, Sixuan Liu, Xiaodan Fan, Jie Hu

Journal of Computational and Graphical Statistics

DOI

2025

Development and validation of a small-sample machine learning model to predict 5–year overall survival in patients with hepatocellular carcinoma

Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu, Shanjun Mao

BMC Cancer

DOI

2025

AJGM: joint learning of heterogeneous gene networks with adaptive graphical model

Shunqi Yang, Lingyi Hu, Pengzhou Chen, Xiangxiang Zeng, Shanjun Mao

Bioinformatics

DOI

2025

Cell lineage tracing: Methods, applications, and challenges

Shanjun Mao, Chenyang Zhang, Runjiu Chen, Shan Tang, Xiao-Dan Fan, Jie Hu

Quant. Biol.

DOI

2023

LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer

Shan Tang, Shanjun Mao, Yangyang Chen, Falong Tan, Lihua Duan, Cong Pian, Xiangxiang Zeng

Journal of Theoretical Biology

DOI

2023

Automatic block-wise genotype-phenotype association detection based on hidden Markov model

Jin Du, Chaojie Wang, Lijun Wang, Shanjun Mao, Bencong Zhu, Zheng Li, Xiaodan Fan

BMC Bioinformatics

DOI

2023

STW-MD: a novel spatio-temporal weighting and multi-step decision tree method for considering spatial heterogeneity in brain gene expression data

Shanjun Mao, Xiao Huang, Runjiu Chen, Chenyang Zhang, Yi-Zhu Diao, Zongjin Li, Qingzhen Wang, Shan Tang, Shuixia Guo

Briefings Bioinform.

DOI

2021

Correlation for tree-shaped datasets and its Bayesian estimation

Shanjun Mao, Xiaodan Fan, Jie Hu

Computational Statistics & Data Analysis

DOI

2017

统计学习方法在图像超分辨率及树形结构数据上的应用

毛善骏

《厦门大学》

预印本

2025

Explainable Machine Learning for Multi-Timepoint Progression-Free Survival Prediction in Nasopharyngeal Carcinoma: Integrating Pre-Therapy Indicators from Real-World Clinical Practice

Tingting Jiang, Xingyu Liu, Wencan He, Rong Tang, Jingyi Hu, Yong jun Pan, Nianyong Chen, Hepei Li, Yu Sun, Shanjun Mao

SSRN Electronic Journal

DOI

2025

Time-Varying Network Driver Estimation (TNDE) Quantifies Stage-Specific Regulatory Effects From Single-Cell Snapshots

Jiaxin Li, Shanjun Mao

arXiv preprint

2024

Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate

Tang, Shan, Shanjun Mao, Stephens Ma, Falong Tan

arXiv (Cornell University)

DOI

2024

Development of 5-year Survival Machine Learning for Hepatocellular Carcinoma Patients Based on Pre-therapeutic Hematological Biomarkers

Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu, Shanjun Mao

Research Square

DOI

2023

Bayesian Inference of Gene Expression Dynamics in Alzheimer Brains

Shanjun Mao, Xiaodan Fan

arXiv preprint

2023

A Geometric Statistic for Quantifying Correlation Between Tree-Shaped Datasets

Shanjun Mao, Xiaodan Fan, Jie Hu

arXiv preprint

2017

A Bayesian statistical analysis of stochastic phenotypic plasticity model of cancer cells

Da Zhou, Shanjun Mao, Kaiyi Chen, Xiaofang Cao, Jie Hu

arXiv preprint

毛善骏

精选作品

期刊论文

CTSM: A novel cumulative-time-based stacking algorithm for predicting sepsis onset

Frailty prediction models in older adults with stroke in China: A systematic review and meta-analysis

Network-phenotype key gene screening (NPKG) identifies therapeutically relevant targets for neurodegenerative diseases

A Geometric Statistic for Quantifying the Spatial-Temporal Association in Cell Lineage Gene Expression Tree

Development and validation of a small-sample machine learning model to predict 5–year overall survival in patients with hepatocellular carcinoma

AJGM: joint learning of heterogeneous gene networks with adaptive graphical model

Cell lineage tracing: Methods, applications, and challenges

LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer

Automatic block-wise genotype-phenotype association detection based on hidden Markov model

STW-MD: a novel spatio-temporal weighting and multi-step decision tree method for considering spatial heterogeneity in brain gene expression data

Correlation for tree-shaped datasets and its Bayesian estimation

统计学习方法在图像超分辨率及树形结构数据上的应用

预印本

Explainable Machine Learning for Multi-Timepoint Progression-Free Survival Prediction in Nasopharyngeal Carcinoma: Integrating Pre-Therapy Indicators from Real-World Clinical Practice

Time-Varying Network Driver Estimation (TNDE) Quantifies Stage-Specific Regulatory Effects From Single-Cell Snapshots

Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate

Development of 5-year Survival Machine Learning for Hepatocellular Carcinoma Patients Based on Pre-therapeutic Hematological Biomarkers

Bayesian Inference of Gene Expression Dynamics in Alzheimer Brains

A Geometric Statistic for Quantifying Correlation Between Tree-Shaped Datasets

A Bayesian statistical analysis of stochastic phenotypic plasticity model of cancer cells

研究方向