5304 related articles for article (PubMed ID: 29845250)
1. 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]
2. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA‑gene pairs in small‑cell lung cancer.
Mao Y; Xue P; Li L; Xu P; Cai Y; Chu X; Jiang P; Zhu S
Mol Med Rep; 2019 Sep; 20(3):2199-2208. PubMed ID: 31257520
[TBL] [Abstract][Full Text] [Related]
3. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
5. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
6. Identification of Key Biomarkers and Pathways in Small-Cell Lung Cancer Using Biological Analysis.
Liu H; Li T; Ye X; Lyu J
Biomed Res Int; 2021; 2021():5953386. PubMed ID: 34712733
[TBL] [Abstract][Full Text] [Related]
7. Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma.
Li H; Long J; Xie F; Kang K; Shi Y; Xu W; Wu X; Lin J; Xu H; Du S; Xu Y; Zhao H; Zheng Y; Gu J
Oncol Rep; 2019 Nov; 42(5):1833-1842. PubMed ID: 31545466
[TBL] [Abstract][Full Text] [Related]
8. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
9. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
10. Identification of candidate genes associated with the pathogenesis of small cell lung cancer via integrated bioinformatics analysis.
Liao Y; Yin G; Wang X; Zhong P; Fan X; Huang C
Oncol Lett; 2019 Oct; 18(4):3723-3733. PubMed ID: 31516585
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
12. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
13. Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis.
Zhang Q; Sun S; Zhu C; Zheng Y; Cai Q; Liang X; Xie H; Zhou J
Mol Med Rep; 2019 Apr; 19(4):2479-2488. PubMed ID: 30720105
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
15. Investigation of Potential Mechanisms Associated with Non-small Cell Lung Cancer.
Shi Y; Zhu S; Yang J; Shao M; Ding W; Jiang W; Sun X; Yao N
J Comput Biol; 2020 Sep; 27(9):1433-1442. PubMed ID: 32048869
[TBL] [Abstract][Full Text] [Related]
16. Distinct Molecular Mechanisms Analysis of Three Lung Cancer Subtypes Based on Gene Expression Profiles.
Wang L; Pei Y; Li S; Zhang S; Yang Y
J Comput Biol; 2019 Oct; 26(10):1140-1155. PubMed ID: 31305128
[No Abstract] [Full Text] [Related]
17. Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.
Yang HJ; Xue JM; Li J; Wan LH; Zhu YX
Mol Genet Genomic Med; 2020 Jun; 8(6):e1200. PubMed ID: 32181600
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
[TBL] [Abstract][Full Text] [Related]
20. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
