122 related articles for article (PubMed ID: 34181334)
1. Evaluation of Twenty Genes in Prognosis of Patients with Ovarian Cancer Using Four Different Clustering Methods.
Pourahmad S; Foroozani S; Nourelahi M; Hosseini A; Razmkhah M
Asian Pac J Cancer Prev; 2021 Jun; 22(6):1781-1787. PubMed ID: 34181334
[TBL] [Abstract][Full Text] [Related]
2. SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
Li W; Fan M; Xiong M
Bioinformatics; 2003 May; 19(7):811-7. PubMed ID: 12724290
[TBL] [Abstract][Full Text] [Related]
3. Identification of differentially expressed genes using an annealing control primer system in stage III serous ovarian carcinoma.
Kim YS; Hwan JD; Bae S; Bae DH; Shick WA
BMC Cancer; 2010 Oct; 10():576. PubMed ID: 20969748
[TBL] [Abstract][Full Text] [Related]
4. An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data.
Nidheesh N; Abdul Nazeer KA; Ameer PM
Comput Biol Med; 2017 Dec; 91():213-221. PubMed ID: 29100115
[TBL] [Abstract][Full Text] [Related]
5. Investigating key genes associated with ovarian cancer by integrating affinity propagation clustering and mutual information network analysis.
Wang J; Chen C; Li HF; Jiang XL; Zhang L
Eur Rev Med Pharmacol Sci; 2016 Jun; 20(12):2532-40. PubMed ID: 27383302
[TBL] [Abstract][Full Text] [Related]
6. A prognostic 11 genes expression model for ovarian cancer.
Men CD; Liu QN; Ren Q
J Cell Biochem; 2018 Feb; 119(2):1971-1978. PubMed ID: 28817186
[TBL] [Abstract][Full Text] [Related]
7. KIFCI, a novel putative prognostic biomarker for ovarian adenocarcinomas: delineating protein interaction networks and signaling circuitries.
Pawar S; Donthamsetty S; Pannu V; Rida P; Ogden A; Bowen N; Osan R; Cantuaria G; Aneja R
J Ovarian Res; 2014; 7():53. PubMed ID: 25028599
[TBL] [Abstract][Full Text] [Related]
8. Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.
Tothill RW; Tinker AV; George J; Brown R; Fox SB; Lade S; Johnson DS; Trivett MK; Etemadmoghadam D; Locandro B; Traficante N; Fereday S; Hung JA; Chiew YE; Haviv I; ; Gertig D; DeFazio A; Bowtell DD
Clin Cancer Res; 2008 Aug; 14(16):5198-208. PubMed ID: 18698038
[TBL] [Abstract][Full Text] [Related]
9. Evaluation and comparison of gene clustering methods in microarray analysis.
Thalamuthu A; Mukhopadhyay I; Zheng X; Tseng GC
Bioinformatics; 2006 Oct; 22(19):2405-12. PubMed ID: 16882653
[TBL] [Abstract][Full Text] [Related]
10. miRNA expression profile changes in the peripheral blood of monozygotic discordant twins for epithelial ovarian carcinoma: potential new biomarkers for early diagnosis and prognosis of ovarian carcinoma.
Tuncer SB; Erdogan OS; Erciyas SK; Saral MA; Celik B; Odemis DA; Turkcan GK; Yazici H
J Ovarian Res; 2020 Aug; 13(1):99. PubMed ID: 32854743
[TBL] [Abstract][Full Text] [Related]
11. Does Determination of Initial Cluster Centroids Improve the Performance of
Pourahmad S; Basirat A; Rahimi A; Doostfatemeh M
Comput Math Methods Med; 2020; 2020():7636857. PubMed ID: 32802153
[TBL] [Abstract][Full Text] [Related]
12. A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.
Meyniel JP; Cottu PH; Decraene C; Stern MH; Couturier J; Lebigot I; Nicolas A; Weber N; Fourchotte V; Alran S; Rapinat A; Gentien D; Roman-Roman S; Mignot L; Sastre-Garau X
BMC Cancer; 2010 May; 10():222. PubMed ID: 20492709
[TBL] [Abstract][Full Text] [Related]
13. Clustering gene expression data using a diffraction-inspired framework.
Dinger SC; Van Wyk MA; Carmona S; Rubin DM
Biomed Eng Online; 2012 Nov; 11():85. PubMed ID: 23164195
[TBL] [Abstract][Full Text] [Related]
14. Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis.
Wang L; Li X
Oncol Rep; 2020 Jun; 43(6):1755-1770. PubMed ID: 32186777
[TBL] [Abstract][Full Text] [Related]
15. K-ary clustering with optimal leaf ordering for gene expression data.
Bar-Joseph Z; Demaine ED; Gifford DK; Srebro N; Hamel AM; Jaakkola TS
Bioinformatics; 2003 Jun; 19(9):1070-8. PubMed ID: 12801867
[TBL] [Abstract][Full Text] [Related]
16. A practical comparison of two K-Means clustering algorithms.
Wilkin GA; Huang X
BMC Bioinformatics; 2008 May; 9 Suppl 6(Suppl 6):S19. PubMed ID: 18541054
[TBL] [Abstract][Full Text] [Related]
17. Platform-Independent Classification System to Predict Molecular Subtypes of High-Grade Serous Ovarian Carcinoma.
Shilpi A; Kandpal M; Ji Y; Seagle BL; Shahabi S; Davuluri RV
JCO Clin Cancer Inform; 2019 Apr; 3():1-9. PubMed ID: 31002564
[TBL] [Abstract][Full Text] [Related]
18. Integrating genomic, epigenomic, and transcriptomic features reveals modular signatures underlying poor prognosis in ovarian cancer.
Zhang W; Liu Y; Sun N; Wang D; Boyd-Kirkup J; Dou X; Han JD
Cell Rep; 2013 Aug; 4(3):542-53. PubMed ID: 23933257
[TBL] [Abstract][Full Text] [Related]
19. Identifying prognostic signature in ovarian cancer using DirGenerank.
Wang JY; Chen LL; Zhou XH
Oncotarget; 2017 Jul; 8(28):46398-46413. PubMed ID: 28615526
[TBL] [Abstract][Full Text] [Related]
20. A systematic comparison of genome-scale clustering algorithms.
Jay JJ; Eblen JD; Zhang Y; Benson M; Perkins AD; Saxton AM; Voy BH; Chesler EJ; Langston MA
BMC Bioinformatics; 2012 Jun; 13 Suppl 10(Suppl 10):S7. PubMed ID: 22759431
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
