Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 77


Screening of feature genes of the ovarian cancer epithelia with DNA microarray.

Ying H, Lv J, Ying T, Li J, Yang Q.

J Ovarian Res. 2013 Jun 5;6(1):39. doi: 10.1186/1757-2215-6-39.


Screening the molecular targets of ovarian cancer based on bioinformatics analysis.

Du L, Qian X, Dai C, Wang L, Huang D, Wang S, Shen X.

Tumori. 2015 Jul-Aug;101(4):384-9. doi: 10.5301/tj.5000319. Epub 2015 Jul 2.


Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis.

Shi C, Zhang Z.

Oncol Lett. 2017 Jul;14(1):725-732. doi: 10.3892/ol.2017.6183. Epub 2017 May 17.


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 22;10:576. doi: 10.1186/1471-2407-10-576.


Gene expression profiling analysis of the role of miR-22 in clear cell ovarian cancer.

Zhen YB, Guo XL, Xu B, Zhao HW, Xu CJ.

Neoplasma. 2016;63(6):856-864.


Screening of feature genes of the renal cell carcinoma with DNA microarray.

Feng JY, Diao XW, Fan MQ, Wang PX, Xiao Y, Zhong X, Wu RH, Huang CB.

Eur Rev Med Pharmacol Sci. 2013 Nov;17(22):2994-3001.


Gene expression analyses to explore the biomarkers and therapeutic targets for gliomas.

Wang L, Wei B, Hu G, Wang L, Jin Y, Sun Z.

Neurol Sci. 2015 Mar;36(3):403-9. doi: 10.1007/s10072-014-1985-0. Epub 2014 Oct 28. Retraction in: Neurol Sci. 2015 Oct;36(10):1981.


Screening candidate genes associated with bladder cancer using DNA microarray.

Xu A, Wang C, Sun S.

Mol Med Rep. 2014 Dec;10(6):3087-91. doi: 10.3892/mmr.2014.2667. Epub 2014 Oct 15.


Gene-gene interaction network analysis of ovarian cancer using TCGA data.

Ying H, Lv J, Ying T, Jin S, Shao J, Wang L, Xu H, Yuan B, Yang Q.

J Ovarian Res. 2013 Dec 6;6(1):88. doi: 10.1186/1757-2215-6-88. Retraction in: J Ovarian Res. 2015;8(1):18.


Investigation of the hub genes and related mechanism in ovarian cancer via bioinformatics analysis.

Fu LJ, Wang B.

J Ovarian Res. 2013 Dec 17;6(1):92. doi: 10.1186/1757-2215-6-92. Retraction in: J Ovarian Res. 2015;8(1):15.


Screening feature genes of osteosarcoma with DNA microarray: a bioinformatic analysis.

Zhang Y, Yan S, Lu D, Dong F, Lian Y.

Int J Clin Exp Med. 2015 May 15;8(5):7134-42. eCollection 2015.


Investigation of candidate genes for osteoarthritis based on gene expression profiles.

Dong S, Xia T, Wang L, Zhao Q, Tian J.

Acta Orthop Traumatol Turc. 2016 Dec;50(6):686-690. doi: 10.1016/j.aott.2016.04.002. Epub 2016 Nov 18.


Gene expression profiling supports the hypothesis that human ovarian surface epithelia are multipotent and capable of serving as ovarian cancer initiating cells.

Bowen NJ, Walker LD, Matyunina LV, Logani S, Totten KA, Benigno BB, McDonald JF.

BMC Med Genomics. 2009 Dec 29;2:71. doi: 10.1186/1755-8794-2-71.


Identification of therapeutic targets of ischemic stroke with DNA microarray.

Bi BL, Wang HJ, Bian H, Tian ZT.

Eur Rev Med Pharmacol Sci. 2015 Nov;19(21):4012-9.


Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data.

Wu Y, Zang WD, Jiang W.

Genet Mol Res. 2014 Nov 11;13(4):9421-8. doi: 10.4238/2014.November.11.7.


Bioinformatics analysis of gene expression profile data to screen key genes involved in pulmonary sarcoidosis.

Li H, Zhao X, Wang J, Zong M, Yang H.

Gene. 2017 Jan 5;596:98-104. doi: 10.1016/j.gene.2016.09.037. Epub 2016 Sep 25.


Identification of transcriptional factors and key genes in primary osteoporosis by DNA microarray.

Xie W, Ji L, Zhao T, Gao P.

Med Sci Monit. 2015 May 9;21:1333-44. doi: 10.12659/MSM.894111.


Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence.

Yan H, Li Z, Shen Q, Wang Q, Tian J, Jiang Q, Gao L.

Pathol Res Pract. 2017 Apr;213(4):316-321. doi: 10.1016/j.prp.2017.01.019. Epub 2017 Jan 25.


Screening of key genes of unruptured intracranial aneurysms by using DNA microarray data analysis techniques.

Chen L, Fan Y, Wan J.

Genet Mol Res. 2014 Jan 31;13(1):758-67. doi: 10.4238/2014.January.31.2.


Revealing the underlying mechanism of diabetic nephropathy viewed by microarray analysis.

Qu W, Han C, Li M, Zhang J, Li L.

Exp Clin Endocrinol Diabetes. 2015 Jun;123(6):353-9. doi: 10.1055/s-0035-1548849. Epub 2015 Apr 28.


Supplemental Content

Support Center