129 related articles for article (PubMed ID: 21483658)
1. Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development.
Lascorz J; Hemminki K; Försti A
J Carcinog; 2011 Mar; 10():7. PubMed ID: 21483658
[TBL] [Abstract][Full Text] [Related]
2. Consensus pathways implicated in prognosis of colorectal cancer identified through systematic enrichment analysis of gene expression profiling studies.
Lascorz J; Chen B; Hemminki K; Försti A
PLoS One; 2011 Apr; 6(4):e18867. PubMed ID: 21541025
[TBL] [Abstract][Full Text] [Related]
3. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
[TBL] [Abstract][Full Text] [Related]
4. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3.
Yang YH; Zhang YX; Gui Y; Liu JB; Sun JJ; Fan H
World J Gastroenterol; 2019 May; 25(17):2086-2098. PubMed ID: 31114135
[TBL] [Abstract][Full Text] [Related]
5. Enrichment analysis of differentially expressed genes in chronic heart failure.
Fang X; Zeng X; Wang M; Qin L; Tan C; Wu J
Ann Palliat Med; 2021 Aug; 10(8):9049-9056. PubMed ID: 34488391
[TBL] [Abstract][Full Text] [Related]
6. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
7. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
8. Systematic enrichment analysis of microRNA expression profiling studies in endometriosis.
Wei S; Xu H; Kuang Y
Iran J Basic Med Sci; 2015 May; 18(5):423-9. PubMed ID: 26124927
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Construction of an immunorelated protein-protein interaction network for clarifying the mechanism of burn.
Gao Y; Nai W; Yang L; Lu Z; Shi P; Jin H; Wen H; Wang G
Burns; 2016 Mar; 42(2):405-13. PubMed ID: 26739088
[TBL] [Abstract][Full Text] [Related]
12. [Biological activity of biomimetic dermal papilla spheres prepared by culture of dermal papilla cells of mice based on hanging drops of gelatin methacrylate and its hair-inducing function in nude mice].
Huang G; Chen L
Zhonghua Shao Shang Za Zhi; 2021 Aug; 37(8):770-780. PubMed ID: 34404159
[No Abstract] [Full Text] [Related]
13. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
[TBL] [Abstract][Full Text] [Related]
14. RNA sequencing reveals the expression profiles of circRNA and indicates that circDDX17 acts as a tumor suppressor in colorectal cancer.
Li XN; Wang ZJ; Ye CX; Zhao BC; Li ZL; Yang Y
J Exp Clin Cancer Res; 2018 Dec; 37(1):325. PubMed ID: 30591054
[TBL] [Abstract][Full Text] [Related]
15. Integration of gene expression data identifies key genes and pathways in colorectal cancer.
Hozhabri H; Lashkari A; Razavi SM; Mohammadian A
Med Oncol; 2021 Jan; 38(1):7. PubMed ID: 33411100
[TBL] [Abstract][Full Text] [Related]
16. Identification of differentially expressed genes regulated by methylation in colon cancer based on bioinformatics analysis.
Liang Y; Zhang C; Dai DQ
World J Gastroenterol; 2019 Jul; 25(26):3392-3407. PubMed ID: 31341364
[TBL] [Abstract][Full Text] [Related]
17. Transcriptome analysis of potential candidate genes and molecular pathways in colitis-associated colorectal cancer of Mkp-1-deficient mice.
Hammad A; Zheng ZH; Namani A; Elshaer M; Wang XJ; Tang X
BMC Cancer; 2021 May; 21(1):607. PubMed ID: 34034704
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of DNA methylation-regulated differentially-expressed genes and related pathways using Illumina 450K BeadChip and bioinformatic analysis in gastric cancer.
Liang Y; Zhang C; Dai DQ
Pathol Res Pract; 2019 Oct; 215(10):152570. PubMed ID: 31378454
[TBL] [Abstract][Full Text] [Related]
20. Profiling of differentially expressed genes in adipose tissues of multiple symmetric lipomatosis.
Chen K; Wang L; Yang W; Wang C; Hu G; Mo Z
Mol Med Rep; 2017 Nov; 16(5):6570-6579. PubMed ID: 28901441
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]