271 related articles for article (PubMed ID: 25253512)
61. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression.
Azevedo H; Fujita A; Bando SY; Iamashita P; Moreira-Filho CA
PLoS One; 2014; 9(11):e110934. PubMed ID: 25365520
[TBL] [Abstract][Full Text] [Related]
62. Associating transcriptional modules with colon cancer survival through weighted gene co-expression network analysis.
Liu R; Zhang W; Liu ZQ; Zhou HH
BMC Genomics; 2017 May; 18(1):361. PubMed ID: 28486948
[TBL] [Abstract][Full Text] [Related]
63. Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes.
Chu JH; Lazarus R; Carey VJ; Raby BA
BMC Syst Biol; 2011 May; 5():89. PubMed ID: 21627793
[TBL] [Abstract][Full Text] [Related]
64. ARACNe-based inference, using curated microarray data, of Arabidopsis thaliana root transcriptional regulatory networks.
Chávez Montes RA; Coello G; González-Aguilera KL; Marsch-Martínez N; de Folter S; Alvarez-Buylla ER
BMC Plant Biol; 2014 Apr; 14():97. PubMed ID: 24739361
[TBL] [Abstract][Full Text] [Related]
65. Genome-wide DNA methylation analysis by MethylRad and the transcriptome profiles reveal the potential cancer-related lncRNAs in colon cancer.
Zheng G; Zhang Y; Wang H; Ding E; Qu A; Su P; Yang Y; Zou M; Zhang Y
Cancer Med; 2020 Oct; 9(20):7601-7612. PubMed ID: 32869528
[TBL] [Abstract][Full Text] [Related]
66. Bioinformatic exploration of MTA1-regulated gene networks in colon cancer.
Li C; Wang H; Lin F; Li H; Wen T; Qian H; Zhan Q
Front Med; 2016 Jun; 10(2):178-82. PubMed ID: 27052252
[TBL] [Abstract][Full Text] [Related]
67. Discovery of the Anti-Tumor Mechanism of Calycosin Against Colorectal Cancer by Using System Pharmacology Approach.
Huang C; Li R; Shi W; Huang Z
Med Sci Monit; 2019 Jul; 25():5589-5593. PubMed ID: 31352466
[TBL] [Abstract][Full Text] [Related]
68. Computational dissection of tissue contamination for identification of colon cancer-specific expression profiles.
Türeci O; Ding J; Hilton H; Bian H; Ohkawa H; Braxenthaler M; Seitz G; Raddrizzani L; Friess H; Buchler M; Sahin U; Hammer J
FASEB J; 2003 Mar; 17(3):376-85. PubMed ID: 12631577
[TBL] [Abstract][Full Text] [Related]
69. Voltage-gated Na+ channel SCN5A is a key regulator of a gene transcriptional network that controls colon cancer invasion.
House CD; Vaske CJ; Schwartz AM; Obias V; Frank B; Luu T; Sarvazyan N; Irby R; Strausberg RL; Hales TG; Stuart JM; Lee NH
Cancer Res; 2010 Sep; 70(17):6957-67. PubMed ID: 20651255
[TBL] [Abstract][Full Text] [Related]
70. Transcriptional regulatory network analysis of developing human erythroid progenitors reveals patterns of coregulation and potential transcriptional regulators.
Keller MA; Addya S; Vadigepalli R; Banini B; Delgrosso K; Huang H; Surrey S
Physiol Genomics; 2006 Dec; 28(1):114-28. PubMed ID: 16940433
[TBL] [Abstract][Full Text] [Related]
71. Transcriptional network inference from functional similarity and expression data: a global supervised approach.
Ambroise J; Robert A; Macq B; Gala JL
Stat Appl Genet Mol Biol; 2012 Jan; 11(1):Article 2. PubMed ID: 22499684
[TBL] [Abstract][Full Text] [Related]
72. Involvement of enhancer of zeste homolog 2 in cisplatin-resistance in ovarian cancer cells by interacting with several genes.
Wang H; Yu Y; Chen C; Wang Q; Huang T; Hong F; Zhu L
Mol Med Rep; 2015 Aug; 12(2):2503-10. PubMed ID: 25955318
[TBL] [Abstract][Full Text] [Related]
73. Integration analysis of long non-coding RNA (lncRNA) role in tumorigenesis of colon adenocarcinoma.
Poursheikhani A; Abbaszadegan MR; Nokhandani N; Kerachian MA
BMC Med Genomics; 2020 Jul; 13(1):108. PubMed ID: 32727450
[TBL] [Abstract][Full Text] [Related]
74. Expression analysis of the estrogen receptor target genes in renal cell carcinoma.
Liu Z; Lu Y; He Z; Chen L; Lu Y
Mol Med Rep; 2015 Jan; 11(1):75-82. PubMed ID: 25351113
[TBL] [Abstract][Full Text] [Related]
75. A putative molecular network associated with colon cancer metastasis constructed from microarray data.
Chu S; Wang H; Yu M
World J Surg Oncol; 2017 Jun; 15(1):115. PubMed ID: 28629469
[TBL] [Abstract][Full Text] [Related]
76. Identification and clinical validation of metastasis-associated biomarkers based on large-scale samples in colon-adenocarcinoma.
Gu L; Liu Y; Jiang C; Sun L; Zhou H
Pharmacol Res; 2020 Oct; 160():105087. PubMed ID: 32683036
[TBL] [Abstract][Full Text] [Related]
77. [Data mining of esophageal squamous cell carcinoma from The Cancer Genome Atlas database].
He SY; Wang XB; Jiao YC
Zhonghua Zhong Liu Za Zhi; 2018 Jul; 40(7):517-522. PubMed ID: 30060360
[No Abstract] [Full Text] [Related]
78. SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.
Liu E; Zhang ZZ; Cheng X; Liu X; Cheng L
BMC Med Genomics; 2020 Apr; 13(Suppl 5):50. PubMed ID: 32241274
[TBL] [Abstract][Full Text] [Related]
79. Integration analysis for novel lncRNA markers predicting tumor recurrence in human colon adenocarcinoma.
Chen F; Li Z; Deng C; Yan H
J Transl Med; 2019 Aug; 17(1):299. PubMed ID: 31470869
[TBL] [Abstract][Full Text] [Related]
80. Construction of pancreatic cancer double-factor regulatory network based on chip data on the transcriptional level.
Zhao LL; Zhang T; Liu BR; Liu TF; Tao N; Zhuang LW
Mol Biol Rep; 2014 May; 41(5):2875-83. PubMed ID: 24469724
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
