311 related articles for article (PubMed ID: 24302177)
21. Comparative transcriptional and functional profiling of clear cell and papillary renal cell carcinoma.
Diegmann J; Tomiuk S; Sanjmyatav J; Junker K; Hindermann W; von Eggeling F
Int J Mol Med; 2006 Sep; 18(3):395-403. PubMed ID: 16865223
[TBL] [Abstract][Full Text] [Related]
22. Screening and further analyzing differentially expressed genes in acute idiopathic pulmonary fibrosis with DNA microarray.
Min F; Gao F; Liu Z
Eur Rev Med Pharmacol Sci; 2013 Oct; 17(20):2784-90. PubMed ID: 24174361
[TBL] [Abstract][Full Text] [Related]
23. Network spatio-temporal analysis predicts disease stage-related genes and pathways in renal cell carcinoma.
Li1 XH; Yang CZ; Wang J
Genet Mol Res; 2016 May; 15(2):. PubMed ID: 27173324
[TBL] [Abstract][Full Text] [Related]
24. Bioinformatic analysis of specific genes in diabetic nephropathy.
Fu F; Wei X; Liu J; Mi N
Ren Fail; 2015 Aug; 37(7):1219-24. PubMed ID: 26156684
[TBL] [Abstract][Full Text] [Related]
25. 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. PubMed ID: 25323786
[TBL] [Abstract][Full Text] [Related]
26. Gene expression profiling of renal cell carcinoma: a DNA macroarray analysis.
Lovisolo JA; Casati B; Clerici L; Marafante E; Bono AV; Celato N; Salvadore M
BJU Int; 2006 Jul; 98(1):205-16. PubMed ID: 16831170
[TBL] [Abstract][Full Text] [Related]
27. Gene expression profiling and bioinformatics analysis of gastric carcinoma.
Liu N; Liu X; Zhou N; Wu Q; Zhou L; Li Q
Exp Mol Pathol; 2014 Jun; 96(3):361-6. PubMed ID: 24589858
[TBL] [Abstract][Full Text] [Related]
28. Genome-wide microRNA expression profiling in renal cell carcinoma: significant down-regulation of miR-141 and miR-200c.
Nakada C; Matsuura K; Tsukamoto Y; Tanigawa M; Yoshimoto T; Narimatsu T; Nguyen LT; Hijiya N; Uchida T; Sato F; Mimata H; Seto M; Moriyama M
J Pathol; 2008 Dec; 216(4):418-27. PubMed ID: 18925646
[TBL] [Abstract][Full Text] [Related]
29. Prediction and Analysis of Hub Genes in Renal Cell Carcinoma based on CFS Gene Selection Method Combined with Adaboost Algorithm.
Wang Y; Zheng B; Xu M; Cai S; Younseo J; Zhang C; Jiang B
Med Chem; 2020; 16(5):654-663. PubMed ID: 31584378
[TBL] [Abstract][Full Text] [Related]
30. MIR-142-5p and miR-9 may be involved in squamous lung cancer by regulating cell cycle related genes.
Su YH; Zhou Z; Yang KP; Wang XG; Zhu Y; Fa XE
Eur Rev Med Pharmacol Sci; 2013 Dec; 17(23):3213-20. PubMed ID: 24338464
[TBL] [Abstract][Full Text] [Related]
31. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
Ding Y; Liu P; Zhang S; Tao L; Han J
Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
[TBL] [Abstract][Full Text] [Related]
32. Uncovering potential key genes associated with the pathogenesis of asthma: A microarray analysis of asthma-relevant tissues.
Guan Y; Jin X; Liu X; Huang Y; Wang M; Li X
Allergol Immunopathol (Madr); 2017; 45(2):152-159. PubMed ID: 27842724
[TBL] [Abstract][Full Text] [Related]
33. Abnormal gene expression profile reveals the common key signatures associated with clear cell renal cell carcinoma: a meta-analysis.
Zhang HJ; Sun ZQ; Qian WQ; Sheng L
Genet Mol Res; 2015 Mar; 14(1):2216-24. PubMed ID: 25867368
[TBL] [Abstract][Full Text] [Related]
34. Comparisons of gene expression in normal, lesional, and non-lesional psoriatic skin using DNA microarray techniques.
Xie S; Chen Z; Wang Q; Song X; Zhang L
Int J Dermatol; 2014 Oct; 53(10):1213-20. PubMed ID: 25041445
[TBL] [Abstract][Full Text] [Related]
35. Transcriptome network analysis reveals candidate genes for renal cell carcinoma.
Zhai W; Xu YF; Liu M; Zheng JH
J Cancer Res Ther; 2012; 8(1):28-33. PubMed ID: 22531510
[TBL] [Abstract][Full Text] [Related]
36. Identification and functional analysis of differentially expressed genes related to metastatic osteosarcoma.
Niu F; Zhao S; Xu CY; Chen L; Ye L; Bi GB; Tian G; Gong P; Nie TH
Asian Pac J Cancer Prev; 2014; 15(24):10797-801. PubMed ID: 25605179
[TBL] [Abstract][Full Text] [Related]
37. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
38. Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma.
Wu F; Wu S; Gou X
Neoplasma; 2018; 65(2):242-252. PubMed ID: 29534586
[TBL] [Abstract][Full Text] [Related]
39. 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; 8(5):7134-42. PubMed ID: 26221251
[TBL] [Abstract][Full Text] [Related]
40. Gene expression changes in human mesenchymal stem cells from patients with osteoporosis.
Liu L; Zhu Q; Wang J; Xi Q; Zhu H; Gu M
Mol Med Rep; 2015 Jul; 12(1):981-7. PubMed ID: 25815782
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]