282 related articles for article (PubMed ID: 22852817)
21. ModEx: A text mining system for extracting mode of regulation of transcription factor-gene regulatory interaction.
Farahmand S; Riley T; Zarringhalam K
J Biomed Inform; 2020 Feb; 102():103353. PubMed ID: 31857203
[TBL] [Abstract][Full Text] [Related]
22. A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions.
Zhang J; Le TD; Liu L; He J; Li J
Gene; 2016 Feb; 577(1):55-64. PubMed ID: 26611531
[TBL] [Abstract][Full Text] [Related]
23. Identification of intestinal flora-related key genes and therapeutic drugs in colorectal cancer.
Zhang J; Zhang H; Li F; Song Z; Li Y; Zhao T
BMC Med Genomics; 2020 Nov; 13(1):172. PubMed ID: 33198757
[TBL] [Abstract][Full Text] [Related]
24. Comparative Transcriptome-Based Mining and Expression Profiling of Transcription Factors Related to Cold Tolerance in Peanut.
Jiang C; Zhang H; Ren J; Dong J; Zhao X; Wang X; Wang J; Zhong C; Zhao S; Liu X; Gao S; Yu H
Int J Mol Sci; 2020 Mar; 21(6):. PubMed ID: 32168930
[TBL] [Abstract][Full Text] [Related]
25. Inferring transcription factor activity from microarray data reveals novel targets for toxicological investigations.
Souza TM; van den Beucken T; Kleinjans JCS; Jennen DGJ
Toxicology; 2017 Aug; 389():101-107. PubMed ID: 28743512
[TBL] [Abstract][Full Text] [Related]
26. Identifying biologically interpretable transcription factor knockout targets by jointly analyzing the transcription factor knockout microarray and the ChIP-chip data.
Yang TH; Wu WS
BMC Syst Biol; 2012 Aug; 6():102. PubMed ID: 22898448
[TBL] [Abstract][Full Text] [Related]
27. MicroRNA mediated network and DNA methylation in colorectal cancer.
Li BQ; Yu H; Wang Z; Ding GH; Liu L
Protein Pept Lett; 2013 Mar; 20(3):352-63. PubMed ID: 22591477
[TBL] [Abstract][Full Text] [Related]
28. Comprehensive Analysis of Novel lncRNA-TF Regulatory Cross Talks and Identification of Core lncRNA-TF Feedback Loops in Sarcoma.
Wang K; Ye X; Yang C; Chen G; Yao N; Kang Z; Shi W
DNA Cell Biol; 2020 Sep; 39(9):1558-1572. PubMed ID: 32845706
[TBL] [Abstract][Full Text] [Related]
29. Topological patterns in microRNA-gene regulatory network: studies in colorectal and breast cancer.
Sengupta D; Bandyopadhyay S
Mol Biosyst; 2013 Jun; 9(6):1360-71. PubMed ID: 23475160
[TBL] [Abstract][Full Text] [Related]
30. Classifying transcription factor targets and discovering relevant biological features.
Holloway DT; Kon M; DeLisi C
Biol Direct; 2008 May; 3():22. PubMed ID: 18513408
[TBL] [Abstract][Full Text] [Related]
31. A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer.
Nagaraj SH; Reverter A
BMC Syst Biol; 2011 Feb; 5():35. PubMed ID: 21352556
[TBL] [Abstract][Full Text] [Related]
32. Systematic identification of core transcription factors mediating dysregulated links bridging inflammatory bowel diseases and colorectal cancer.
Xiao Y; Fan H; Zhang Y; Xing W; Ping Y; Zhao H; Xu C; Li Y; Wang L; Li F; Hu J; Huang T; Lv Y; Ren H; Li X
PLoS One; 2013; 8(12):e83495. PubMed ID: 24386215
[TBL] [Abstract][Full Text] [Related]
33. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
[TBL] [Abstract][Full Text] [Related]
34. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
35. An Integrative Approach for Mapping Differentially Expressed Genes and Network Components Using Novel Parameters to Elucidate Key Regulatory Genes in Colorectal Cancer.
Sehgal M; Gupta R; Moussa A; Singh TR
PLoS One; 2015; 10(7):e0133901. PubMed ID: 26222778
[TBL] [Abstract][Full Text] [Related]
36. Network based transcription factor analysis of regenerating axolotl limbs.
Jhamb D; Rao N; Milner DJ; Song F; Cameron JA; Stocum DL; Palakal MJ
BMC Bioinformatics; 2011 Mar; 12():80. PubMed ID: 21418574
[TBL] [Abstract][Full Text] [Related]
37. Functional and protein‑protein interaction network analysis of colorectal cancer induced by ulcerative colitis.
Dai Y; Jiang JB; Wang YL; Jin ZT; Hu SY
Mol Med Rep; 2015 Oct; 12(4):4947-58. PubMed ID: 26239378
[TBL] [Abstract][Full Text] [Related]
38. Identification of key genes associated with colorectal cancer based on the transcriptional network.
Chen G; Li H; Niu X; Li G; Han N; Li X; Li G; Liu Y; Sun G; Wang Y; Li Z; Li Q
Pathol Oncol Res; 2015 Jul; 21(3):719-25. PubMed ID: 25613817
[TBL] [Abstract][Full Text] [Related]
39. Identification of upstream regulators for prognostic expression signature genes in colorectal cancer.
Bae T; Rho K; Choi JW; Horimoto K; Kim W; Kim S
BMC Syst Biol; 2013 Sep; 7():86. PubMed ID: 24006872
[TBL] [Abstract][Full Text] [Related]
40. RNA sequencing reveals the expression profiles of circRNA and indicates that circDDX17 acts as a tumor suppressor in colorectal cancer.
Li XN; Wang ZJ; Ye CX; Zhao BC; Li ZL; Yang Y
J Exp Clin Cancer Res; 2018 Dec; 37(1):325. PubMed ID: 30591054
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]