• 449 Citations
  • 10 h-Index
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Fingerprint Dive into the research topics where Xiaoyang Mou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Alzheimer Disease Medicine & Life Sciences
Genes Engineering & Materials Science
Gene expression Engineering & Materials Science
Gene Expression Medicine & Life Sciences
Factorization Engineering & Materials Science
Microarrays Engineering & Materials Science
Gene Regulatory Networks Medicine & Life Sciences
Independent component analysis Engineering & Materials Science

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Research Output 2000 2019

A new method for excavating feature lncRNA in lung adenocarcinoma based on pathway crosstalk analysis

Qi, G., Kong, W., Mou, X. & Wang, S., Jun 1 2019, In : Journal of Cellular Biochemistry. 120, 6, p. 9034-9046 13 p.

Research output: Contribution to journalArticle

Long Noncoding RNA
Untranslated RNA
Electric network analysis

Comprehensive analysis of tumor immune infiltration associated with endogenous competitive RNA networks in lung adenocarcinoma

Wei, B., Kong, W., Mou, X. & Wang, S., Jan 1 2019, In : Pathology Research and Practice. 215, 1, p. 159-170 12 p.

Research output: Contribution to journalArticle

Long Noncoding RNA
Messenger RNA
1 Citation (Scopus)

Construction of Transcriptional Regulatory Network of Alzheimer’s Disease Based on PANDA Algorithm

Ding, J., Kong, W., Mou, X. & Wang, S., Jun 1 2019, In : Interdisciplinary Sciences: Computational Life Sciences. 11, 2, p. 226-236 11 p.

Research output: Contribution to journalArticle

Gene Regulatory Networks
Alzheimer Disease
Transcription factors
Gene expression

Analysis microRNA-gene co-modules in glioblastoma multiforme based on integrative two types of genomic data

Deng, J., Kong, W., Wang, H., Wang, S. & Mou, X., Sep 19 2018, 2018 2nd International Conference on Biomedical Engineering and Bioinformatics, ICBEB 2018. Association for Computing Machinery, (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gene expression
2 Citations (Scopus)

Identifying novel candidate biomarkers of RCC based on WGCNA analysis

Deng, J., Kong, W., Mou, X., Wang, S. & Zeng, W., Sep 1 2018, In : Personalized Medicine. 15, 5, p. 381-394 14 p.

Research output: Contribution to journalArticle

Renal Cell Carcinoma
Gene Expression
Gene Regulatory Networks