509 related articles for article (PubMed ID: 31311202)
1. Exploring the Molecular Mechanism of the Drug-Treated Breast Cancer Based on Gene Expression Microarray.
Alshabi AM; ; Shaikh IA; Vastrad C
Biomolecules; 2019 Jul; 9(7):. PubMed ID: 31311202
[No Abstract] [Full Text] [Related]
2. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
3. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
4. Identification of important invasion and proliferation related genes in adrenocortical carcinoma.
Alshabi AM; Vastrad B; Shaikh IA; Vastrad C
Med Oncol; 2019 Jul; 36(9):73. PubMed ID: 31321566
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis.
Balashanmugam MV; Shivanandappa TB; Nagarethinam S; Vastrad B; Vastrad C
Biomolecules; 2019 Dec; 10(1):. PubMed ID: 31881747
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatic Identification of the Pyroptosis-Related Transcription Factor-MicroRNA-Target Gene Regulatory Network in Angiotensin II-Induced Cardiac Remodeling and Validation of Key Components.
Huang T; Ding J; Lin L; Han L; Yu L; Li M
Front Biosci (Landmark Ed); 2023 Nov; 28(11):293. PubMed ID: 38062833
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
12. Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network.
Liu X; Chen F; Tan F; Li F; Yi R; Yang D; Zhao X
Biomed Res Int; 2020; 2020():6149174. PubMed ID: 33204705
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Construction of an initial microRNA regulation network in breast invasive carcinoma by bioinformatics analysis.
Yin Y; Shen C; Xie P; Cheng Z; Zhu Q
Breast; 2016 Apr; 26():1-10. PubMed ID: 27017236
[TBL] [Abstract][Full Text] [Related]
16. Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis.
Ganekal P; Vastrad B; Vastrad C; Kotrashetti S
Ther Adv Cardiovasc Dis; 2023; 17():17539447231168471. PubMed ID: 37092838
[TBL] [Abstract][Full Text] [Related]
17. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of gene expression data for the identification of critical genes in breast invasive carcinoma.
Li Y; Wang Y
Mol Med Rep; 2017 Dec; 16(6):8657-8664. PubMed ID: 28990063
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
20. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
