Jie Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 10

Top Topics

Negative Matrix Factorization

Redescription Mining

Survival Prediction

Top Venues

IEEE Trans. Medical Imaging

Genom. Proteom. Bioinform.

BMC Medical Informatics Decis. Mak.

Publications

Jiannan Liu, Huanmei Wu, Daniel H. Robertson, Jie Zhang
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. BMC Medical Informatics Decis. Mak. (3) (2024)
Yusong Liu, Tongxin Wang, Ben Duggan, Michael F. Sharpnack, Kun Huang, Jie Zhang, Xiufen Ye, Travis S. Johnson
SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression. Briefings Bioinform. 23 (3) (2022)
Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. IEEE Trans. Medical Imaging 40 (12) (2021)
Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama, Maher E. Rizkalla, Kun Huang, Jie Zhang
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. Genom. Proteom. Bioinform. 19 (6) (2021)
Zixiao Lu, Xiaohui Zhan, Yi Wu, Jun Cheng, Wei Shao, Dong Ni, Zhi Han, Jie Zhang, Qianjin Feng, Kun Huang
: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. Genom. Proteom. Bioinform. 19 (6) (2021)
Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39 (1) (2020)
Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65 (2020)
Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. CoRR (2020)
Tongxin Wang, Travis Johnson, Jie Zhang, Kun Huang
Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. PSB (2019)
Tongxin Wang, Jie Zhang, Kun Huang
Generalized gene co-expression analysis via subspace clustering using low-rank representation. BMC Bioinform. (7) (2019)
Jie Zhang, Shiwei Ni, Yang Xiang, Jeffrey D. Parvin, Yufeng Yang, Yongjian Zhou, Kun Huang
Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis. Int. J. Comput. Biol. Drug Des. 6 (1/2) (2013)
Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-wen Liu, Jeffrey D. Parvin, Kun Huang
Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability. PLoS Comput. Biol. 8 (8) (2012)
Jie Zhang, Thomas Knobloch, Jeffrey D. Parvin, Christopher Weghorst, Kun Huang
Identifying smoking associated gene co-expression networks related to oral cancer initiation. BIBM Workshops (2011)
Jie Zhang, Shiwei Ni, Jeffrey D. Parvin, Yufeng Yang, Kun Huang
Predicting Parkinson's disease related genes using frequent gene co-expression analysis. BIBM Workshops (2011)
Philip R. O. Payne, Kun Huang, Kristin Keen-Circle, Abhisek Kundu, Jie Zhang, Tara Borlawsky
Multi-dimensional discovery of biomarker and phenotype complexes. BMC Bioinform. 11 (S-9) (2010)
Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle, Tara Borlawsky, Hatice Gulcin Ozer, Ruoming Jin, Philip R. O. Payne, Kun Huang
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. BMC Bioinform. 11 (S-9) (2010)
Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin
Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. IJCBS (2009)