Xin DUAN

Postdoc

Sun Yat-sen University

Biography

Dr. Xin DUAN was a postdoctoral researcher in School of Biomedical Engineering of Sun Yat-sen University. His research interest includes medical image analysis, cancer molecular subtyping. He is currently researching and designing the development of high-throughput in vivo biological (zebrafish) sensing technologies and platforms based on microfluidics and ultrafast optical imaging technologies, and combining them with artificial intelligence technologies for the precise screening of targeted drugs. Now, he continues his academic career at the Shenzhen Campus of Sun Yat-sen Univeristy.

Research Interests

Medical Images
Artificial Intelligence

Education

PhD in College of Automation
Harbin Engineering University
2016 - 2020
Visiting Student in Department of Biomedical Sciences
City University of Hong Kong
2015 - 2018
MEng in College of Automation
Harbin Engineering University
2012 - 2015
BEng in College of Automation
Harbin Engineering University
2008 - 2012

Related Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

Du CAI^†, Wei Wang, Min-Er ZHONG, De-Jun FAN, Xuanhui Liu, Cheng-Hang LI, Ze-Ping HUANG, Qi-Qi ZHU, Min-Yi LV, Chu-Ling HU, Xin DUAN, Xiao-Jian Wu^*, Feng GAO^* (2023). Journal Article An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer. Cancer Medicine.

Min-Er ZHONG^†, Xin DUAN^†, Ma-Yi-Di-Li Ni-Jia-Ti, Hao-Ning QI, Dong-Wei XU, Du CAI, Cheng-Hang LI, Ze-Ping HUANG, Qi-Qi ZHU, Feng GAO^*, Xiaojian Wu^* (2022). Journal Article CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study. Journal of Translational Medicine.

Min-Yi LV^†, Wei Wang^†, Min-Er ZHONG^†, Du CAI, De-Jun FAN, Cheng-Hang LI, Wei-Bin KOU, Ze-Ping HUANG, Xin DUAN, Chu-Ling HU, Qi-Qi ZHU, Xiao-Sheng He, Feng GAO^* (2022). Journal Article DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients. Frontiers in Genetics.

Xin DUAN^†, Wei Wang, Minghui Tang, Feng GAO^*, Xu-Dong Lin^* (2022). Journal Article Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion. Frontiers in Genetics.

Cheng Jin^†, Heng Yu^†, Jia Ke^†, Peirong Ding^†, Yongju Yi, Xiaofeng Jiang, Xin DUAN, Jinghua Tang, Daniel T. Chang, Xiaojian Wu^*, Feng GAO^*, Ruijiang Li^* (2021). Journal Article Predicting treatment response from longitudinal images using multi-task deep learning. Nature Communications.

Du CAI^†, Xin DUAN^†, Wei Wang, Ze-Ping HUANG, Qi-Qi ZHU, Min-Er ZHONG, Min-Yi LV, Cheng-Hang LI, Wei-Bin KOU, Xiao-Jian Wu^*, Feng GAO^* (2021). Journal Article A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer. Frontiers in Molecular Biosciences.

Xin DUAN^†, Kejun Wang, Jia Ke, Ping Lan, Feng GAO^*, Xiaojian Wu^* (2020). Journal Article Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion. Journal of Computational Biology.

Asif Rashid^†, Xin DUAN^†, Feng GAO^†, Mengsu Yang^*, Andrew Yen^* (2020). Journal Article Roscovitine enhances All-trans retinoic acid (ATRA)-induced leukemia cell differentiation: Novel effects on signaling molecules for a putative Cdk2 inhibitor. Cellular Signalling.

Asif Rashid^†, Xin DUAN^†, Feng GAO^†, Mengsu Yang, Andrew Yen^* (2020). Journal Article Roscovitine enhances all-trans retinoic acid (ATRA)-induced nuclear enrichment of an ensemble of activated signaling molecules and augments ATRA-induced myeloid cell differentiation. Oncotarget.

Xin DUAN^†, Kejun Wang, Jia Ke, Ping Lan, Feng GAO^*, Xiaojian Wu^* (2019). Journal Article Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion. Journal of Computational Biology.

Kejun Wang^†, Xin DUAN^†, Feng GAO^†, Wei Wang, Liangliang Liu, Xin Wang^* (2018). Journal Article Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines. PLoS ONE.

Lan Zhao^†, Feng GAO, Wei Wang, Xin DUAN, Yuchen Zhang, Lina Zhu, Xin Wang^* (0001). Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature.

Xin DUAN^†, Du CAI, Yufeng Chen, Qi-Qi ZHU, Ze-Ping HUANG, Cheng-Hang LI, Xiaojian Wu, Feng GAO^* (0001). Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping.

Qi-Qi ZHU^†, Du CAI, Wei Wang, Min-Er ZHONG, De-Jun FAN, Xuanhui Liu, Cheng-Hang LI, Ze-Ping HUANG, Min-Yi LV, Chu-Ling HU, Xin DUAN, Xiaojian Wu, Feng GAO^* (0001). Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer..

Du CAI^†, Wei Wang, Min-Er ZHONG, De-Jun FAN, Xuanhui Liu, Cheng-Hang LI, Ze-Ping HUANG, Qi-Qi ZHU, Min-Yi LV, Chu-Ling HU, Xin DUAN, Xiaojian Wu, Feng GAO^* (0001). Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer..