Lishan Ye

发表

Learning association for single-cell transcriptomics by integrating profiling of gene expression and alternative polyadenylation

Sheng Zhu, Guoli Ji, Wenbin Ye, 2021, bioRxiv.

PlantAPAdb: A Comprehensive Database for Alternative Polyadenylation Sites in Plants1[CC-BY]

Sheng Zhu, Congting Ye, Guoli Ji, 2019, Plant Physiology.

Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study

Xin Sun, Lishan Ye, Jing Tan, 2022, Reproductive Biology and Endocrinology.

Data Resource Profile: Xiamen registry of pregnant women and offspring (REPRESENT): a population-based, long-term follow-up database linking four major healthcare data platforms

Andy H. Lee, Xin Sun, L. Thabane, 2020, International journal of epidemiology.

scAPAmod: Profiling Alternative Polyadenylation Modalities in Single Cells from Single-Cell RNA-Seq Data

Guoli Ji, Lishan Ye, Hongjuan Fu, 2022, International journal of molecular sciences.

Using real-world data to estimate the changing trends in the prevalence and incidence of type 2 diabetes mellitus in Xiamen of China from 2014 to 2019

Xiulin Shi, Xuejun Li, Lishan Ye, 2020, BMC Endocrine Disorders.

Impact of maternal infection with hepatitis B virus on pregnancy complications and neonatal outcomes for women undergoing assisted reproductive technology treatment: A population‐based study

Xin Sun, Lishan Ye, Jing Tan, 2021, Journal of viral hepatitis.

Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism’s Pathogenesis

Guoli Ji, Jinting Guan, Shuchao Li, 2021, Biomedicines.

scLINE: A multi-network integration framework based on network embedding for representation of single-cell RNA-seq data

Guoli Ji, Huoyou Li, Xuesong Xiao, 2021, J. Biomed. Informatics.

Length-of-Stay Prediction for Pediatric Patients With Respiratory Diseases Using Decision Tree Methods

Limin Yu, Fei Ma, Lishan Ye, 2020, IEEE Journal of Biomedical and Health Informatics.

scHinter: imputing dropout events for single-cell RNA-seq data with limited sample size

Guoli Ji, Congting Ye, Xiaohui Wu, 2019, Bioinform..

ECG Signal Classification with Deep Learning for Heart Disease Identification

Limin Yu, Fei Ma, Wenbo Zhang, 2018, 2018 International Conference on Big Data and Artificial Intelligence (BDAI).