131 related articles for article (PubMed ID: 38285789)
1. Transcriptomic Profiling of OSCC Patients in an Indian Subset.
Patel A; Kikani A; Makadiya G; Shah S
Asian Pac J Cancer Prev; 2024 Jan; 25(1):233-239. PubMed ID: 38285789
[TBL] [Abstract][Full Text] [Related]
2. A Five-mRNA Expression Signature to Predict Survival in Oral Squamous Cell Carcinoma by Integrated Bioinformatic Analyses.
Guo H; Li C; Su X; Huang X
Genet Test Mol Biomarkers; 2021 Aug; 25(8):517-527. PubMed ID: 34406843
[No Abstract] [Full Text] [Related]
3. 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]
4. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.
Shen Y; Dong S; Liu J; Zhang L; Zhang J; Zhou H; Dong W
Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
[TBL] [Abstract][Full Text] [Related]
8. A comprehensive meta-analysis of transcriptome data to identify signature genes associated with pancreatic ductal adenocarcinoma.
Kordshouli SO; Tahmasebi A; Moghadam A; Ramezani A; Niazi A
PLoS One; 2024; 19(2):e0289561. PubMed ID: 38324544
[TBL] [Abstract][Full Text] [Related]
9. Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.
Ge Y; Li W; Ni Q; He Y; Chu J; Wei P
Med Sci Monit; 2019 Sep; 25():7272-7288. PubMed ID: 31562292
[TBL] [Abstract][Full Text] [Related]
10. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
11. Integrated Analysis and MicroRNA Expression Profiling Identified Seven miRNAs Associated With Progression of Oral Squamous Cell Carcinoma.
Yan ZY; Luo ZQ; Zhang LJ; Li J; Liu JQ
J Cell Physiol; 2017 Aug; 232(8):2178-2185. PubMed ID: 27935034
[TBL] [Abstract][Full Text] [Related]
12. Key Genes and Prognostic Analysis in HER2+ Breast Cancer.
Weng Y; Liang W; Ji Y; Li Z; Jia R; Liang Y; Ning P; Xu Y
Technol Cancer Res Treat; 2021; 20():1533033820983298. PubMed ID: 33499770
[TBL] [Abstract][Full Text] [Related]
13. Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.
Amiri-Dashatan N; Koushki M; Jalilian A; Ahmadi NA; Rezaei-Tavirani M
Asian Pac J Cancer Prev; 2020 Jun; 21(6):1841-1848. PubMed ID: 32597160
[TBL] [Abstract][Full Text] [Related]
14. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
15. An Integrated Systems Biology and Network-Based Approaches to Identify Novel Biomarkers in Breast Cancer Cell Lines Using Gene Expression Data.
Khan A; Rehman Z; Hashmi HF; Khan AA; Junaid M; Sayaf AM; Ali SS; Hassan FU; Heng W; Wei DQ
Interdiscip Sci; 2020 Jun; 12(2):155-168. PubMed ID: 32056139
[TBL] [Abstract][Full Text] [Related]
16. Systems-level differential gene expression analysis reveals new genetic variants of oral cancer.
Abbas SZ; Qadir MI; Muhammad SA
Sci Rep; 2020 Sep; 10(1):14667. PubMed ID: 32887903
[TBL] [Abstract][Full Text] [Related]
17. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
18. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
19. Chemo-resistant Gastric Cancer Associated Gene Expression Signature: Bioinformatics Analysis Based on Gene Expression Omnibus.
Liu JB; Jian T; Yue C; Chen D; Chen W; Bao TT; Liu HX; Cao Y; Li WB; Yang Z; Hoffman RM; Yu C
Anticancer Res; 2019 Apr; 39(4):1689-1698. PubMed ID: 30952707
[TBL] [Abstract][Full Text] [Related]
20. Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma.
Zou C; Huang D; Wei H; Wu S; Song J; Tang Z; Li X; Ai Y
J Immunol Res; 2021; 2021():6203759. PubMed ID: 34497859
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
