171 related articles for article (PubMed ID: 36167975)
1. Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis.
Zeng Y; Fan R
Sci Rep; 2022 Sep; 12(1):16153. PubMed ID: 36167975
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
4. Identification of hub genes and analysis of prognostic values in pancreatic ductal adenocarcinoma by integrated bioinformatics methods.
Lu Y; Li C; Chen H; Zhong W
Mol Biol Rep; 2018 Dec; 45(6):1799-1807. PubMed ID: 30173393
[TBL] [Abstract][Full Text] [Related]
5. Identification of Key Prognostic Biomarker and Its Correlation with Immune Infiltrates in Pancreatic Ductal Adenocarcinoma.
Luan H; Zhang C; Zhang T; He Y; Su Y; Zhou L
Dis Markers; 2020; 2020():8825997. PubMed ID: 32934754
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatic Analysis Suggests That Three Hub Genes May Be a Vital Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma.
Chang X; Yang MF; Fan W; Wang LS; Yao J; Li ZS; Li DF
J Comput Biol; 2020 Nov; 27(11):1595-1609. PubMed ID: 32216644
[TBL] [Abstract][Full Text] [Related]
7. Construction of a prognostic prediction system for pancreatic ductal adenocarcinoma to investigate the key prognostic genes.
Zheng B; Peng J; Mollayup A; Bakri A; Guo L; Zheng J; Xu H
Mol Med Rep; 2018 Jan; 17(1):216-224. PubMed ID: 29115420
[TBL] [Abstract][Full Text] [Related]
8. Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasets.
Liu L; Wang S; Cen C; Peng S; Chen Y; Li X; Diao N; Li Q; Ma L; Han P
Mol Med Rep; 2019 Aug; 20(2):1901-1914. PubMed ID: 31257501
[TBL] [Abstract][Full Text] [Related]
9. SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.
Liu E; Zhang ZZ; Cheng X; Liu X; Cheng L
BMC Med Genomics; 2020 Apr; 13(Suppl 5):50. PubMed ID: 32241274
[TBL] [Abstract][Full Text] [Related]
10. Identification of potential core genes at single-cell level contributing to pathogenesis of pancreatic ductal adenocarcinoma through bioinformatics analysis.
Du B; Su F; Wang H; Liang H; Song X; Shao Z; Wei Y
Cancer Biomark; 2022; 34(1):1-12. PubMed ID: 35068444
[TBL] [Abstract][Full Text] [Related]
11. Hsa-mir-3163 and CCNB1 may be potential biomarkers and therapeutic targets for androgen receptor positive triple-negative breast cancer.
Qiu P; Guo Q; Yao Q; Chen J; Lin J
PLoS One; 2021; 16(11):e0254283. PubMed ID: 34797837
[TBL] [Abstract][Full Text] [Related]
12. Gene signature and connectivity mapping to assist with drug prediction for pancreatic ductal adenocarcinoma.
Xiao Y; Zhang B; Cloyd JM; Xu G; Du S; Mao Y; Pawlik TM
Surg Oncol; 2022 Sep; 44():101849. PubMed ID: 36116415
[TBL] [Abstract][Full Text] [Related]
13. Deciphering the Prognostic Implications of the Components and Signatures in the Immune Microenvironment of Pancreatic Ductal Adenocarcinoma.
Tang R; Liu X; Liang C; Hua J; Xu J; Wang W; Meng Q; Liu J; Zhang B; Yu X; Shi S
Front Immunol; 2021; 12():648917. PubMed ID: 33777046
[No Abstract] [Full Text] [Related]
14. Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis.
Giulietti M; Occhipinti G; Principato G; Piva F
Cell Oncol (Dordr); 2017 Apr; 40(2):181-192. PubMed ID: 28205147
[TBL] [Abstract][Full Text] [Related]
15. Integration of mRNA and protein expression data for the identification of potential biomarkers associated with pancreatic ductal adenocarcinoma.
Akrami S; Tahmasebi A; Moghadam A; Ramezani A; Niazi A
Comput Biol Med; 2023 May; 157():106529. PubMed ID: 36921457
[TBL] [Abstract][Full Text] [Related]
16. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
Li N; Zhao X; You S
Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
[TBL] [Abstract][Full Text] [Related]
17. Genome-Wide Analysis Identified a Number of Dysregulated Long Noncoding RNA (lncRNA) in Human Pancreatic Ductal Adenocarcinoma.
Hao S; Yao L; Huang J; He H; Yang F; Di Y; Jin C; Fu D
Technol Cancer Res Treat; 2018 Jan; 17():1533034617748429. PubMed ID: 29343207
[TBL] [Abstract][Full Text] [Related]
18. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.
Lu Y; Yang G; Xiao Y; Zhang T; Su F; Chang R; Ling X; Bai Y
Breast Cancer; 2020 Sep; 27(5):903-911. PubMed ID: 32338339
[TBL] [Abstract][Full Text] [Related]
19. Construction and analysis of dysregulated lncRNA-associated ceRNA network identified novel lncRNA biomarkers for early diagnosis of human pancreatic cancer.
Zhou M; Diao Z; Yue X; Chen Y; Zhao H; Cheng L; Sun J
Oncotarget; 2016 Aug; 7(35):56383-56394. PubMed ID: 27487139
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
