190 related articles for article (PubMed ID: 23772050)
1. Joint analysis of expression profiles from multiple cancers improves the identification of microRNA-gene interactions.
Chen X; Slack FJ; Zhao H
Bioinformatics; 2013 Sep; 29(17):2137-45. PubMed ID: 23772050
[TBL] [Abstract][Full Text] [Related]
2. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Zhang S; Li Q; Liu J; Zhou XJ
Bioinformatics; 2011 Jul; 27(13):i401-9. PubMed ID: 21685098
[TBL] [Abstract][Full Text] [Related]
3. Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.
Lee E; Ito K; Zhao Y; Schadt EE; Irie HY; Zhu J
Bioinformatics; 2016 Jan; 32(1):96-105. PubMed ID: 26358730
[TBL] [Abstract][Full Text] [Related]
4. Integrating full spectrum of sequence features into predicting functional microRNA-mRNA interactions.
Wang Z; Xu W; Liu Y
Bioinformatics; 2015 Nov; 31(21):3529-36. PubMed ID: 26130578
[TBL] [Abstract][Full Text] [Related]
5. miRConnect 2.0: identification of oncogenic, antagonistic miRNA families in three human cancers.
Hua Y; Larsen N; Kalyana-Sundaram S; Kjems J; Chinnaiyan AM; Peter ME
BMC Genomics; 2013 Mar; 14():179. PubMed ID: 23497354
[TBL] [Abstract][Full Text] [Related]
6. Identifying cancer-related microRNAs based on gene expression data.
Zhao XM; Liu KQ; Zhu G; He F; Duval B; Richer JM; Huang DS; Jiang CJ; Hao JK; Chen L
Bioinformatics; 2015 Apr; 31(8):1226-34. PubMed ID: 25505085
[TBL] [Abstract][Full Text] [Related]
7. Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.
Creighton CJ; Fountain MD; Yu Z; Nagaraja AK; Zhu H; Khan M; Olokpa E; Zariff A; Gunaratne PH; Matzuk MM; Anderson ML
Cancer Res; 2010 Mar; 70(5):1906-15. PubMed ID: 20179198
[TBL] [Abstract][Full Text] [Related]
8. Transcriptomic analysis reveals tumor stage- or grade-dependent expression of miRNAs in serous ovarian cancer.
Berkel C; Cacan E
Hum Cell; 2021 May; 34(3):862-877. PubMed ID: 33576947
[TBL] [Abstract][Full Text] [Related]
9. Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets.
Jin D; Lee H
Sci Rep; 2016 Oct; 6():35350. PubMed ID: 27734929
[TBL] [Abstract][Full Text] [Related]
10. DNA methylation-regulated microRNA pathways in ovarian serous cystadenocarcinoma: A meta-analysis.
Agustriawan D; Huang CH; Sheu JJ; Lee SC; Tsai JJP; Kurubanjerdjit N; Ng KL
Comput Biol Chem; 2016 Dec; 65():154-164. PubMed ID: 27746113
[TBL] [Abstract][Full Text] [Related]
11. miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.
Ben-Elazar S; Aure MR; Jonsdottir K; Leivonen SK; Kristensen VN; Janssen EAM; Kleivi Sahlberg K; Lingjærde OC; Yakhini Z
PLoS Comput Biol; 2021 Feb; 17(2):e1008608. PubMed ID: 33566819
[TBL] [Abstract][Full Text] [Related]
12. MIRAGAA--a methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer.
Gaire RK; Bailey J; Bearfoot J; Campbell IG; Stuckey PJ; Haviv I
Bioinformatics; 2010 Jan; 26(2):161-7. PubMed ID: 19933823
[TBL] [Abstract][Full Text] [Related]
13. MicroRNA profiling of BRCA1/2 mutation-carrying and non-mutation-carrying high-grade serous carcinomas of ovary.
Lee CH; Subramanian S; Beck AH; Espinosa I; Senz J; Zhu SX; Huntsman D; van de Rijn M; Gilks CB
PLoS One; 2009 Oct; 4(10):e7314. PubMed ID: 19798417
[TBL] [Abstract][Full Text] [Related]
14. An integrated network of microRNA and gene expression in ovarian cancer.
Quitadamo A; Tian L; Hall B; Shi X
BMC Bioinformatics; 2015; 16 Suppl 5(Suppl 5):S5. PubMed ID: 25860109
[TBL] [Abstract][Full Text] [Related]
15. Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation.
Le HS; Bar-Joseph Z
Bioinformatics; 2013 Jul; 29(13):i89-97. PubMed ID: 23813013
[TBL] [Abstract][Full Text] [Related]
16. Modeling microRNA-mRNA interactions using PLS regression in human colon cancer.
Li X; Gill R; Cooper NG; Yoo JK; Datta S
BMC Med Genomics; 2011 May; 4():44. PubMed ID: 21595958
[TBL] [Abstract][Full Text] [Related]
17. Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles.
Zhang W; Le TD; Liu L; Zhou ZH; Li J
PLoS One; 2016; 11(4):e0152860. PubMed ID: 27064982
[TBL] [Abstract][Full Text] [Related]
18. Augmentation of response to chemotherapy by microRNA-506 through regulation of RAD51 in serous ovarian cancers.
Liu G; Yang D; Rupaimoole R; Pecot CV; Sun Y; Mangala LS; Li X; Ji P; Cogdell D; Hu L; Wang Y; Rodriguez-Aguayo C; Lopez-Berestein G; Shmulevich I; De Cecco L; Chen K; Mezzanzanica D; Xue F; Sood AK; Zhang W
J Natl Cancer Inst; 2015 Jul; 107(7):. PubMed ID: 25995442
[TBL] [Abstract][Full Text] [Related]
19. [Screening and identification of potential miRNA involved in ovarian cancer invasion and metastasis].
Liang SH; Li J; Al-beit M; Zhang J; Ma D; Lu X
Zhonghua Zhong Liu Za Zhi; 2010 Sep; 32(9):650-4. PubMed ID: 21122376
[TBL] [Abstract][Full Text] [Related]
20. Cancer survival classification using integrated data sets and intermediate information.
Kim S; Park T; Kon M
Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
