242 related articles for article (PubMed ID: 35150335)
1. In silico bioinformatics analysis for identification of differentially expressed genes and therapeutic drug molecules in Glucocorticoid-resistant Multiple myeloma.
Ghosal S; Banerjee S
Med Oncol; 2022 Feb; 39(5):53. PubMed ID: 35150335
[TBL] [Abstract][Full Text] [Related]
2. Investigating the potential molecular players and therapeutic drug molecules in carfilzomib resistant multiple myeloma by comprehensive bioinformatics analysis.
Ghosal S; Banerjee S
Leuk Lymphoma; 2022 Nov; 63(11):2545-2556. PubMed ID: 35700001
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
4. Identification of potential genes associated with ALDH1A1 overexpression and cyclophosphamide resistance in chronic myelogenous leukemia using network analysis.
Narendra G; Raju B; Verma H; Silakari O
Med Oncol; 2021 Sep; 38(10):123. PubMed ID: 34491453
[TBL] [Abstract][Full Text] [Related]
5. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Integrated bioinformatics analysis of core regulatory elements involved in keloid formation.
Li C; Jin M; Luo Y; Jin Z; Pi L
BMC Med Genomics; 2021 Oct; 14(1):239. PubMed ID: 34600545
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
13. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis.
Xie B; Li Y; Zhao R; Xu Y; Wu Y; Wang J; Xia D; Han W; Chen D
Biomed Res Int; 2018; 2018():4761064. PubMed ID: 29850522
[TBL] [Abstract][Full Text] [Related]
15. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
16. 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]
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. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
19. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
Chen B; Hua Z; Qin X; Li Z
Neurochem Res; 2021 Feb; 46(2):197-212. PubMed ID: 33104965
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
