1. Lin Hua#,*,Hong Xia# ,Weiying Zheng, Zhaoyang Wang,Yingqi Wang,Yibo Gao.ombination of single-cell sequence and omic data analyses to identify the potential biomarkers of Prostate Cancer.Bibliographic Information of the German National Library.2022.BIBE 2022.98-103.EI |
2. T.‑T. Shi, Z. Xin*, L. Hua*, H. Wang, R.‑X. Zhao,Y.‑L. Yang,R.‑R. Xie, H.‑Y. Liu,J.‑K. Yang.Comparative assessment of gut microbial composition and function in patients with Graves’ disease and Graves’ orbitopathy.Journal of Endocrinological Investigation .2021.44(2).297-310.SCI |
3. Lin Hua#*, Hong Xia #, Weiying Zheng.The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer.Iranian Journal of Biotechnology.2020.18(4).e2538.SCI |
4. Wenbin Xu, Lin Hua*, Hong Xia*.Integrative analysis of mRNA, miRNA and lncRNA profiles reveals the commonness between bladder cancer and breast cancer. Translational Cancer Research.2020.1.1-21.SCI |
5. Jing Pan *, Yue Tan,Biping Deng,Chunrong Tong, Lin Hua,Zhuojun Ling, Weiliang Song,Jinlong Xu, Jiajia Duan, Zelin Wang, Huilin Guo, Xinjian Yu, Alex H. Chang, Qinlong Zheng*,Xiaoming Feng*.Frequent occurrence of CD19-negative relapse after CD19 CAR T and consolidation therapy in 14 TP53-mutated r/r B-ALL children.Leukemia.2020.2020.1-6.SCI |
6. Ya-Fen Hu#, Lin Hua#, Xiu Tuo, Ting-Ting Shi, Yi-Lin Yang, Yun-Fu Liu, Zhong-Yu Yan, Zhong Xin*.Preliminary evidence of the association between DNAm and orbital volumetry in GO.Endocrine Connections.2020.9.617-626.SCI |
7. Linna HUANG, Tianshu ZHAI, Lin HUA, Qingyuan ZHAN .Early identification of patients with severe influenza-associated aspergillosis (IAA) in the intensive care unit——an IAA prediction score system ( Asper -PreSS).Journal of Infection .2020.12:41.1-8.SCI |
8. Ting-Ting Shi#,Lin Hua#, Zhong Xin,Yu Li,Wei Liu,Yi-Lin Yang.Identifying and Validating Genes with DNA Methylation Data in the Context of Biological Network for Chinese Patients with Graves’ Orbitopathy.International Journal of Endocrinology.2019.Volume 2019, Article ID 6212681.1-9.SCI |
9. Ting-Ting Shi#,Lin Hua#,Hua Wang, Zhong Xin*.The Potential Link between Gut Microbiota and Serum TRAb in Chinese Patients with Severe and Active Graves’ Orbitopathy.International Journal of Endocrinology.2019.2019, Article ID 9736968.1-12.SCI |
10. Zhong Xin*, Lin Hua *,Yi-Lin Yang, Ting-Ting Shi,Wei Liu, Xiu Tuo, Yu Li, Xi Cao, Fang-Yuan Yang.A Pathway Analysis Based on Genome-Wide DNA Methylation of Chinese Patients with Graves’ Orbitopathy.BioMed Research International.2019.Article ID 9565794.1-10.SCI |
11. T.-T. Shi, Z. Xin*, L. Hua*, R.-X. Zhao, Y.-L. Yang, H. Wang, S. Zhang, W. Liu, R.-R. Xie.Alterations in the intestinal microbiota of patients with severe and active Graves’ orbitopathy: a cross-sectional study.Journal of Endocrinological Investigation.2019.1.1-12.SCI |
12. Jin Hao#,*,Lin Hua#,Xinxing Fu,Xuelian Zhang,Qijuan Zou,Yongxin Li.Genome-wide DNA methylation analysis of human peripheral blood reveals susceptibility loci of diabetes-related hearing loss.Journal of Human Genetics.2018.9.1-10.SCI |
13. Wenbin Xu,Hong Xia, Wei Liu, Weiying Zheng,Lin Hua*.Exploration of genetics commonness between bladder cancer and breast cancer based on a silcio analysis on disease subtypes.Technology and Health Care.2018.26.S361–S377.SCI |
14. Lin Hua*,#, Hong Xia#, Wei-ying Zheng, Li An.Gene Regulation Network Based Analysis Associated with TGF-beta .Iranian J Biotech.2017.15(1).e1308.SCI |
15. Z. Xin#,*,L. Hua#, T.‑T. Shi,X. Tuo,F.‑Y. Yang, Y. Li,X. Cao, J.‑K. Yang*.A genome‑wide DNA methylation analysis in peripheral blood from patients identifies risk loci associated with Graves’ orbitopathy.journal of endocrinological investigation.2017.11.1-11.SCI |
16. W. -Y. Zheng, W. -X. Zheng, L. Hua*.Detecting Shared Pathways Linked to Rheumatoid Arthritis with Other Autoimmune Diseases in a in silico Analysis.Molecular Biology.2016.50(3).462–469.SCI |
17. Li An, Yingxiang Lin, Ting Yang, Lin Hua* .Exploring the interaction among EPHX1, GSTP1, SERPINE2, and TGFB1 contributing to the quantitative traits of chronic obstructive pulmonary disease in Chinese Han population.Human Genomics.2016.10(13).1-12.SCI |
18. L. An, H. Xia, P. Zhou, L. Hua*.Exploration of association between EPHX1 and chronic obstructive pulmonary disease on the basis of combined data mining.Genetics and Molecular Research.2016.15(2).1-12.SCI |
19. Lin Hua, Weiying Zheng, Hong Xia, Ping Zhou, Li An.Integration of multi-microarray datasets to identify chronic obstructive pulmonary disease-related miRNAs.Bio-Medical Materials and Engineering.2015.26.S1903–S1915.SCI |
20. Dongguo Li, Hong Xia,Zhen-ya Li, Lin Hua*,Lin Li*.Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling.Journal of Biomedicine and Biotechnology.2015.2015.1-17.SCI |
21. Dongguo Li,Hong Xia, Zhen-ya Li,Lin Hua*,Lin Li*.Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling.BioMed Research International.2015.2015.1-17.SCI |
22. Lin Hua#,*, Hong Xia#,Ping Zhou, Dongguo Li,Lin Li.Combination of microRNA expression profiling with genome-wide SNP genotyping to construct a coronary artery disease-related miRNA-miRNA synergistic network.BioScience Trends.2014.8(6).297-307.SCI |
23. Lin Hua*, Hong Xia, Ping Zhou.Applying the complexity of networks to mine disease risk genes.Applied Mechanics and Materials.2014.556-562 (2014).5958-5963.EI |
24. Lin Hua#,*, Hong Xia#, Ping Zhou, Li An*.Targets of MiRNAs in Lung Cancer Related Pathways as Predictors of Chronic Obstructive Pulmonary Disease.2014 2nd International Conference on Systems and Informatics.2014.ICSAI 2014.1066-1070.EI |
25. Lin Hua#,*, Hong Xia#, Ping Zhou, Li An*.Explore the Associated MiRNAs with Emphysema Severity of Chronic Obstructive Pulmonary Disease.2014 2nd International Conference on Systems and Informatics.2014.ICSAI 2014.1057-1059.EI |
26. Lin Hua1#,*, Hong Xia#,Ping Zhou, Li An*.Apply Support Vector Regression to Extract the Potential Susceptibility Genes of ChronicObstructive Pulmonary Disease .The 2014 7th International Conference on BioMedical Engineering and Informatics.2014.BMEI2014.705-709.EI |
27. Lin Hua*, Ping Zhou.Combining Protein–Protein Interactions Information with Support Vector Machine to Identify Chronic ObstructivePulmonary Disease Related Genes .Molecular Biology.2014.48(2).333-343.SCI |
28. Lin Hua*, Lin Li*,Ping Zhou.Identifying Breast Cancer Subtype Related miRNAs from Two Constructed miRNAs Interaction Networks in Silico Method.Journal of Biomedicine and Biotechnology.2013.Volume 2013, Article ID 798912.1-13.SCI |
29. Lin Hua*, Lin Li, Ping Zhou, Zheng Yang.COMBINING GEOGRAPHIC REGION WITH META-ANALYSIS TO MAP THE POTENTIAL ASSOCIATION BETWEEN THREE GENETIC POLYMORPHISMS AND CORONARY ARTERY DISEASE.J MED BIOCHEM.2013.32.1-19.SCI |
30. Lin Hua*,#, Ping Zhou#, Lin Li*, Hong Liu, Zheng Yang.Prioritizing breast cancer subtype related miRNAs using miRNA–mRNA dysregulated relationships extracted from their dual expression profiling.Journal of Theoretical Biology.2013.331.1-11.SCI |
31. Lin Hua*, Zheng Yang, Ping Zhou,Li An*.Using Comparative Genomic Hybridization Arrays (aCGH) Techniques to Detect Chronic Obstructive Pulmonary Disease Related Susceptibility Regions.International Journal of Bio-Science and Bio-Technology.2013.5(2).121-130.EI |
32. Lin Hua*, Zheng Yang,Hong Liu.Applying bioinformatics methods to detect the relationship among complex diseases.2013 International Conference on Computational and Information Sciences.2013.ICCIS 2013.214-217.EI |
33. Lin Hua*,#, Li An#, Lin Li, Yong biao Zhang, Chen Wang.A bioinformatics strategy for detecting the complexity of Chronic Obstructive Pulmonary Disease in Northern Chinese Han Population.GENES GENET SYST.2012.87.197-209.SCI |
34. Lin Hua*, Zheng Yang, Hong Liu.Explore coronary artery disease related microRNA clusters by combing single nucleotide polymorphisms with microRNA microarray.2012 5th International Conference on BioMedical Engineering and Informatics.2012.BMEI 2012.1169-1173.EI |
35. Lin Hua, Yongbin Liu, Dongguo Li*.Explore the domain features of co-regulation proteins, co-interaction proteins and co-regulation & cointeraction proteins.2011 4th International Conference on Biomedical Engineering and Informatics.2011.BMEI 2011.1587-1591.EI |
36. Lin Hua, Zheng Yang, Hong Liu*.A comparison between gene-gene sub networks associated with complex diseases and genetic loci-sets.2011 4th International Conference on Biomedical Engineering and Informatics.2011.BMEI 2011.1569-1573.EI |
37. Lin Hua*,#, Ping Zhou*,#, Hong Liu,Lin Li*, Zheng Yang,Zhi-chengLiu.Mining susceptibility gene modules and disease risk genes from SNP data by combining network topological properties with support vector regression .Journal of Theoretical Biology.2011.289.225-236.SCI |
38. Lin Hua#, Dong-guo Li#,Hui Lin, Lin Li, Xia Li*, Zhi-cheng Liu*.The Correlation of Gene Expression and Co-Regulated Gene Patterns in Characteristin KEGG Pathways.Journal of Theoretical Biology.2010.266.242-249.SCI |