259 related articles for article (PubMed ID: 31171715)
1. Identification of core genes and clinical roles in pregnancy-associated breast cancer based on integrated analysis of different microarray profile datasets.
Zhang J; Zhou YJ; Yu ZH; Chen AX; Yu Y; Wang X; Cao XC
Biosci Rep; 2019 Jun; 39(6):. PubMed ID: 31171715
[TBL] [Abstract][Full Text] [Related]
2. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
6. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
7. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
8. Screening of differentially expressed genes and identification of NUF2 as a prognostic marker in breast cancer.
Xu W; Wang Y; Wang Y; Lv S; Xu X; Dong X
Int J Mol Med; 2019 Aug; 44(2):390-404. PubMed ID: 31198978
[TBL] [Abstract][Full Text] [Related]
9. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
10. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
[TBL] [Abstract][Full Text] [Related]
14. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
17. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
Wu J; Zhang Y; Li M
J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
[TBL] [Abstract][Full Text] [Related]
18. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
[TBL] [Abstract][Full Text] [Related]
19. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
[TBL] [Abstract][Full Text] [Related]
20. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
Liu H; Ye H
Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
