Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. - Jie Zhang 010; Kun Huang 001; Yang Xiang; Ruoming Jin (IJCBS, 2009)

Multi-dimensional discovery of biomarker and phenotype complexes. - Philip R. O. Payne; Kun Huang 001; Kristin Keen-Circle; Abhisek Kundu; Jie Zhang 010; Tara Borlawsky (BMC Bioinform., 2010)

Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. - Jie Zhang 010; Yang Xiang; Liya Ding 001; Kristin Keen-Circle; Tara Borlawsky; Hatice Gulcin Ozer; Ruoming Jin; Philip R. O. Payne; Kun Huang 001 (BMC Bioinform., 2010)

Identifying smoking associated gene co-expression networks related to oral cancer initiation. - Jie Zhang 010; Thomas Knobloch; Jeffrey D. Parvin; Christopher Weghorst; Kun Huang 001 (BIBM Workshops, 2011)

Predicting Parkinson's disease related genes using frequent gene co-expression analysis. - Jie Zhang 010; Shiwei Ni; Jeffrey D. Parvin; Yufeng Yang; Kun Huang 001 (BIBM Workshops, 2011)

Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability. - Jie Zhang 010; Kewei Lu; Yang Xiang; Muhtadi Islam; Shweta Kotian; Zeina Kais; Cindy Lee; Mansi Arora; Hui-wen Liu; Jeffrey D. Parvin; Kun Huang 001 (PLoS Comput. Biol., 2012)

Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis. - Jie Zhang 010; Shiwei Ni; Yang Xiang; Jeffrey D. Parvin; Yufeng Yang; Yongjian Zhou; Kun Huang 001 (Int. J. Comput. Biol. Drug Des., 2013)

Genetic Mutations Associated with Histopathology Changes in Kidney Cancer. - Jun Cheng 006; Zhi Han; Qianjin Feng; Liang Cheng; Jie Zhang 010; Kun Huang 001 (AMIA, 2018)

Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. - Tongxin Wang; Travis S. Johnson; Jie Zhang 010; Kun Huang 001 (PSB, 2019)

LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection. - Travis S. Johnson; Tongxin Wang; Zhi Huang; Christina Y. Yu; Yi Wu; Yatong Han; Yan Zhang; Kun Huang 001; Jie Zhang 010 (Bioinform., 2019)

Generalized gene co-expression analysis via subspace clustering using low-rank representation. - Tongxin Wang; Jie Zhang 010; Kun Huang 001 (BMC Bioinform., 2019)

Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. - Zhi Huang; Paul Salama; Wei Shao 005; Jie Zhang 010; Kun Huang 001 (CoRR, 2020)

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. - Wei Shao 005; Tongxin Wang; Liang Sun 009; Tianhan Dong; Zhi Han; Zhi Huang; Jie Zhang 010; Daoqiang Zhang; Kun Huang 001 (Medical Image Anal., 2020)

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. - Wei Shao 005; Kun Huang 001; Zhi Han; Jun Cheng 006; Liang Cheng; Tongxin Wang; Liang Sun 009; Zixiao Lu; Jie Zhang 010; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2020)

TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery. - Yusong Liu; Xiufen Ye; Christina Y. Yu; Wei Shao 005; Jie Hou; Weixing Feng; Jie Zhang 010; Kun Huang 001 (BMC Bioinform., 2021)

TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. - Zhi Huang; Zhi Han; Tongxin Wang; Wei Shao 005; Shunian Xiang; Paul Salama; Maher E. Rizkalla; Kun Huang 001; Jie Zhang 010 (Genom. Proteom. Bioinform., 2021)

BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. - Zixiao Lu; Xiaohui Zhan; Yi Wu; Jun Cheng 006; Wei Shao 005; Dong Ni 001; Zhi Han; Jie Zhang 010; Qianjin Feng; Kun Huang 001 (Genom. Proteom. Bioinform., 2021)

Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. - Wei Shao 005; Tongxin Wang; Zhi Huang; Zhi Han; Jie Zhang 010; Kun Huang 001 (IEEE Trans. Medical Imaging, 2021)

SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression. - Yusong Liu; Tongxin Wang; Ben Duggan; Michael F. Sharpnack; Kun Huang 001; Jie Zhang 010; Xiufen Ye; Travis S. Johnson (Briefings Bioinform., 2022)

RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation. - Jie Zhang 010; Xubing Yang; Rui Jiang 007; Wei Shao 005; Li Zhang 057 (CoRR, 2024)

Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. - Jiannan Liu; Huanmei Wu; Daniel H. Robertson; Jie Zhang 010 (BMC Medical Informatics Decis. Mak., 2024)