Bioinformatics and Big Data Technology in Autoimmune Diseases
Blood Genomics Identifies Three Subtypes of Systemic Lupus Erythematosus: “IFN-High,” “NE-High,” and “Mixed”, Mintian Cui, Taotao Li, Xinwei Yan, Chao Wang, Qi Shen, Hongbiao Ren, Liangshuang Li, and Ruijie Zhang, 2021
Calculation of Similarity Between 26 Autoimmune Diseases Based on Three Measurements Including Network, Function, and Semantics, Yanjun Ding, Mintian Cui, Jun Qian, Chao Wang, Qi Shen, Hongbiao Ren, liangshuang, Li, Fengmin Zhang and Ruijie Zhang, 2021
Assessing the patterns of linkage disequilibrium in genic regions of the human genome, Sun P, Zhang R, Jiang Y, Wang X, Li J, Lv H, Tang G, Guo X, Meng X, Zhang H, Zhang R, 2011
The expanded human disease network combining protein-protein interaction information, Zhang X, Zhang R, Jiang Y, Sun P, Tang G, Wang X, Lv H, Li X, 2011
Integrative analysis of omics summary data reveals putative mechanisms linked to different cell populations in systemic lupus erythematosus, Mintian Cui, Chao Wang, Qi Shen, Hongbiao Ren, Liangshuang Li, Shuai Li, Zerun Song, Wenbo Lin and Ruijie Zhang, 2022
RADB: a database of rheumatoid arthritis-related polymorphisms, Zhang R, Luan M, Shang Z, Duan L, Tang G, Shi M, Lv W, Zhu H, Li J, Lv H, Zhang M, Liu G, Chen H, Jiang Y, 2014
Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms, Yanjun Ding, Taotao Li, Xinwei Yan, Mintian Cui, Chao Wang, Situo Wang, Fengmin Zhang, Ruijie Zhang, 2021
Comparing the evolutionary conservation between human essential genes, human orthologs of mouse essential genes and human housekeeping genes, Lv W, Zheng J, Luan M, Shi M, Zhu H, Zhang M, Lv H, Shang Z, Duan L, Zhang R, Jiang Y, 2015
The shared and specific mechanism of four autoimmune diseases, Meiwei Luan, Zhenwei Shang, Yanbo Teng, Xinren Chen, Mingming Zhang, Hongchao Lv and Ruijie Zhang, 2017
Prioritization of rheumatoid arthritis risk subpathways based on global immune subpathway interaction network and random walk strategy, Lv W, Wang Q, Chen H, Jiang Y, Zheng J, Shi M, Xu Y, Han J, Li C, Zhang R, 2015
The drug target genes show higher evolutionary conservation than non-target genes, Lv W, Xu Y, Guo Y, Yu Z, Feng G, Liu P, Luan M, Zhu H, Liu G, Zhang M, Lv H, Duan L, Shang Z, Li J, Jiang Y, Zhang R, 2016
MCPerm: a Monte Carlo permutation method for accurately correcting the multiple testing in a meta-analysis of genetic association studies, Jiang Y, Zhang L, Kong F, Zhang M, Lv H, Liu G, Liao M, Feng R, Li J, Zhang R, 2014
Pathway-based association analysis of two genome-wide screening data identifies rheumatoid arthritis-related pathways, Zhang MM, Jiang YS, Lv HC, Mu HB, Li J, Shang ZW, Zhang RJ, 2014
Genome-wide pathway-based association analysis identifies risk pathways associated with Parkinson's disease, Zhang M, Mu H, Shang Z, Lv H, Duan L, Li J, Chen X, Teng Y, Jiang Y, Zhang R, 2017
Genome-wide haplotype association study identify the FGFR2 gene as a risk gene for acute myeloid leukemia, Lv H, Zhang M, Shang Z, Li J, Zhang S, Lian D, Zhang R, 2017
Enrichment Disequilibrium: a novel approach for measuring the degree of enrichment after gene enrichment test, Jiang Y, Zhang M, Guo X, Zhang R, 2012
Predict potential drug targets from the ion channel proteins based on SVM, Huang C, Zhang R, Chen Z, Jiang Y, Shang Z, Sun P, Zhang X, Li X, 2010
Novel strategies to mine alcoholism-related haplotypes and genes by combining existing knowledge framework, Zhang R, Li X, Jiang Y, Liu G, Li C, Zhang F, Xiao Y, Gong B, 2009
Genome-wide haplotype association analysis and gene prioritization identify CCL3 as a risk locus for rheumatoid arthritis, Ruijie Zhang, Peng Sun, Yongshuai Jiang, Zhiqiang Chen, Chen Huang, Xuehong Zhang, and Ruimin Zhang, 2010
Meta-analysis of 125 rheumatoid arthritis-related single nucleotide polymorphisms studied in the past two decades, Jiang Y, Zhang R, Zheng J, Liu P, Tang G, Lv H, Zhang L, Shang Z, Zhan Y, Lv W, Shi M, Zhang R, 2012
