355 related articles for article (PubMed ID: 36499614)
1. Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics Analysis.
Yue Q; Li Z; Zhang Q; Jin Q; Zhang X; Jin G
Int J Mol Sci; 2022 Dec; 23(23):. PubMed ID: 36499614
[TBL] [Abstract][Full Text] [Related]
2. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
3. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
4. Transcriptomic landscaping of core genes and pathways of mild and severe psoriasis vulgaris.
Choudhary S; Anand R; Pradhan D; Bastia B; Kumar SN; Singh H; Puri P; Thomas G; Jain AK
Int J Mol Med; 2021 Jan; 47(1):219-231. PubMed ID: 33416099
[TBL] [Abstract][Full Text] [Related]
5. Integrated bioinformatic analysis of differentially expressed genes and signaling pathways in plaque psoriasis.
Zhang YJ; Sun YZ; Gao XH; Qi RQ
Mol Med Rep; 2019 Jul; 20(1):225-235. PubMed ID: 31115544
[TBL] [Abstract][Full Text] [Related]
6. Decoding Psoriasis: Integrated Bioinformatics Approach to Understand Hub Genes and Involved Pathways.
Choudhary S; Pradhan D; Khan NS; Singh H; Thomas G; Jain AK
Curr Pharm Des; 2020; 26(29):3619-3630. PubMed ID: 32160841
[TBL] [Abstract][Full Text] [Related]
7. Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach.
Zhang H; Feng T
Biochem Genet; 2023 Apr; 61(2):471-505. PubMed ID: 36104591
[TBL] [Abstract][Full Text] [Related]
8. Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
Hu T; Luo S; Xi Y; Tu X; Yang X; Zhang H; Feng J; Wang C; Zhang Y
Transl Androl Urol; 2021 Jan; 10(1):243-257. PubMed ID: 33532314
[TBL] [Abstract][Full Text] [Related]
9. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
10. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
Yang X; Wang P; Yan S; Wang G
Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
[TBL] [Abstract][Full Text] [Related]
11. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
12. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
Shi H; Xu H; Chai C; Qin Z; Zhou W
J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
[TBL] [Abstract][Full Text] [Related]
13. Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis.
Luo Y; Luo Y; Chang J; Xiao Z; Zhou B
Hereditas; 2020 Jul; 157(1):30. PubMed ID: 32669126
[TBL] [Abstract][Full Text] [Related]
14. Identifying possible hub genes and biological mechanisms shared between bladder cancer and inflammatory bowel disease using machine learning and integrated bioinformatics.
Liu J; Wu P; Lai S; Wang J; Wang J; Zhang Y
J Cancer Res Clin Oncol; 2023 Dec; 149(18):16885-16904. PubMed ID: 37740761
[TBL] [Abstract][Full Text] [Related]
15. Prediction of crucial epigenetically‑associated, differentially expressed genes by integrated bioinformatics analysis and the identification of S100A9 as a novel biomarker in psoriasis.
Wang X; Liu X; Liu N; Chen H
Int J Mol Med; 2020 Jan; 45(1):93-102. PubMed ID: 31746348
[TBL] [Abstract][Full Text] [Related]
16. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
17. Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools.
Zhang X; Wang Z; Hu L; Shen X; Liu C
Biomed Res Int; 2021; 2021():1759214. PubMed ID: 34931168
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
19. The high expression of TOP2A and MELK induces the occurrence of psoriasis.
Zhu X; Zhang E; Qin L
Aging (Albany NY); 2024 Feb; 16(4):3185-3199. PubMed ID: 38382096
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
