149 related articles for article (PubMed ID: 31265076)
21. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
[TBL] [Abstract][Full Text] [Related]
22. Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains.
Jiang S; Li H; Hong H; Du G; Huang X; Sun Y; Wang J; Tao H; Xu K; Li C; Chen Y; Chen H; Bo X
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32987404
[TBL] [Abstract][Full Text] [Related]
23. EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences.
Ge X; Zhang H; Xie L; Li WV; Kwon SB; Li JJ
Nucleic Acids Res; 2019 Jul; 47(13):e77. PubMed ID: 31045217
[TBL] [Abstract][Full Text] [Related]
24. Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network.
Hosseinpour B; Bakhtiarizadeh MR; Khosravi P; Ebrahimie E
Gene; 2013 Dec; 531(2):212-9. PubMed ID: 24042128
[TBL] [Abstract][Full Text] [Related]
25. A scalable approach for discovering conserved active subnetworks across species.
Deshpande R; Sharma S; Verfaillie CM; Hu WS; Myers CL
PLoS Comput Biol; 2010 Dec; 6(12):e1001028. PubMed ID: 21170309
[TBL] [Abstract][Full Text] [Related]
26. Constructing 3D interaction maps from 1D epigenomes.
Zhu Y; Chen Z; Zhang K; Wang M; Medovoy D; Whitaker JW; Ding B; Li N; Zheng L; Wang W
Nat Commun; 2016 Mar; 7():10812. PubMed ID: 26960733
[TBL] [Abstract][Full Text] [Related]
27. Simultaneous clustering of multiple gene expression and physical interaction datasets.
Narayanan M; Vetta A; Schadt EE; Zhu J
PLoS Comput Biol; 2010 Apr; 6(4):e1000742. PubMed ID: 20419151
[TBL] [Abstract][Full Text] [Related]
28. Expression-based network biology identifies immune-related functional modules involved in plant defense.
Tully JP; Hill AE; Ahmed HM; Whitley R; Skjellum A; Mukhtar MS
BMC Genomics; 2014 Jun; 15():421. PubMed ID: 24888606
[TBL] [Abstract][Full Text] [Related]
29. Locus-specific editing of histone modifications at endogenous enhancers.
Mendenhall EM; Williamson KE; Reyon D; Zou JY; Ram O; Joung JK; Bernstein BE
Nat Biotechnol; 2013 Dec; 31(12):1133-6. PubMed ID: 24013198
[TBL] [Abstract][Full Text] [Related]
30. Tissue-specific regulatory elements in mammalian promoters.
Smith AD; Sumazin P; Zhang MQ
Mol Syst Biol; 2007; 3():73. PubMed ID: 17224917
[TBL] [Abstract][Full Text] [Related]
31. Integrative Analysis of Transcriptomic and Epigenomic Data to Reveal Regulation Patterns for BMD Variation.
Zhang JG; Tan LJ; Xu C; He H; Tian Q; Zhou Y; Qiu C; Chen XD; Deng HW
PLoS One; 2015; 10(9):e0138524. PubMed ID: 26390436
[TBL] [Abstract][Full Text] [Related]
32. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Zhang S; Li Q; Liu J; Zhou XJ
Bioinformatics; 2011 Jul; 27(13):i401-9. PubMed ID: 21685098
[TBL] [Abstract][Full Text] [Related]
33. ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements.
Chen X; Neuwald AF; Hilakivi-Clarke L; Clarke R; Xuan J
PLoS Comput Biol; 2021 Jul; 17(7):e1009203. PubMed ID: 34292930
[TBL] [Abstract][Full Text] [Related]
34. Epigenome overlap measure (EPOM) for comparing tissue/cell types based on chromatin states.
Li WV; Razaee ZS; Li JJ
BMC Genomics; 2016 Jan; 17 Suppl 1(Suppl 1):10. PubMed ID: 26817822
[TBL] [Abstract][Full Text] [Related]
35. Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.
Haverty PM; Hansen U; Weng Z
Nucleic Acids Res; 2004; 32(1):179-88. PubMed ID: 14704355
[TBL] [Abstract][Full Text] [Related]
36. Integrative analysis of reference epigenomes in 20 rice varieties.
Zhao L; Xie L; Zhang Q; Ouyang W; Deng L; Guan P; Ma M; Li Y; Zhang Y; Xiao Q; Zhang J; Li H; Wang S; Man J; Cao Z; Zhang Q; Zhang Q; Li G; Li X
Nat Commun; 2020 May; 11(1):2658. PubMed ID: 32461553
[TBL] [Abstract][Full Text] [Related]
37. Modifying chromatin to shut off enhancers.
Rusk N
Nat Methods; 2013 Nov; 10(11):1052-3. PubMed ID: 24344380
[No Abstract] [Full Text] [Related]
38. 'Traffic light rules': Chromatin states direct miRNA-mediated network motifs running by integrating epigenome and regulatome.
Zhao H; Zhang G; Pang L; Lan Y; Wang L; Yu F; Hu J; Li F; Zhao T; Xiao Y; Li X
Biochim Biophys Acta; 2016 Jul; 1860(7):1475-88. PubMed ID: 27091612
[TBL] [Abstract][Full Text] [Related]
39. Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis data.
Kim SY; Kim Y
BMC Bioinformatics; 2006 Jul; 7():330. PubMed ID: 16817975
[TBL] [Abstract][Full Text] [Related]
40. Co-expression Networks in Predicting Transcriptional Gene Regulation.
AbuQamar SF; El-Tarabily KA; Sham A
Methods Mol Biol; 2021; 2328():1-11. PubMed ID: 34251616
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
