274 related articles for article (PubMed ID: 32732264)
21. Deep conservation of the enhancer regulatory code in animals.
Wong ES; Zheng D; Tan SZ; Bower NL; Garside V; Vanwalleghem G; Gaiti F; Scott E; Hogan BM; Kikuchi K; McGlinn E; Francois M; Degnan BM
Science; 2020 Nov; 370(6517):. PubMed ID: 33154111
[TBL] [Abstract][Full Text] [Related]
22. SeqEnhDL: sequence-based classification of cell type-specific enhancers using deep learning models.
Wang Y; Jaime-Lara RB; Roy A; Sun Y; Liu X; Joseph PV
BMC Res Notes; 2021 Mar; 14(1):104. PubMed ID: 33741075
[TBL] [Abstract][Full Text] [Related]
23. Analysis of long and short enhancers in melanoma cell states.
Mauduit D; Taskiran II; Minnoye L; de Waegeneer M; Christiaens V; Hulselmans G; Demeulemeester J; Wouters J; Aerts S
Elife; 2021 Dec; 10():. PubMed ID: 34874265
[TBL] [Abstract][Full Text] [Related]
24. Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns.
Osmala M; Lähdesmäki H
BMC Bioinformatics; 2020 Jul; 21(1):317. PubMed ID: 32689977
[TBL] [Abstract][Full Text] [Related]
25. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks.
Bravo González-Blas C; De Winter S; Hulselmans G; Hecker N; Matetovici I; Christiaens V; Poovathingal S; Wouters J; Aibar S; Aerts S
Nat Methods; 2023 Sep; 20(9):1355-1367. PubMed ID: 37443338
[TBL] [Abstract][Full Text] [Related]
26. Systematic elucidation and in vivo validation of sequences enriched in hindbrain transcriptional control.
Burzynski GM; Reed X; Taher L; Stine ZE; Matsui T; Ovcharenko I; McCallion AS
Genome Res; 2012 Nov; 22(11):2278-89. PubMed ID: 22759862
[TBL] [Abstract][Full Text] [Related]
27. Enhancer prediction with histone modification marks using a hybrid neural network model.
Lim A; Lim S; Kim S
Methods; 2019 Aug; 166():48-56. PubMed ID: 30905748
[TBL] [Abstract][Full Text] [Related]
28. Homotypic clusters of transcription factor binding sites are a key component of human promoters and enhancers.
Gotea V; Visel A; Westlund JM; Nobrega MA; Pennacchio LA; Ovcharenko I
Genome Res; 2010 May; 20(5):565-77. PubMed ID: 20363979
[TBL] [Abstract][Full Text] [Related]
29. A Pretraining-Retraining Strategy of Deep Learning Improves Cell-Specific Enhancer Predictions.
Niu X; Yang K; Zhang G; Yang Z; Hu X
Front Genet; 2019; 10():1305. PubMed ID: 31969903
[TBL] [Abstract][Full Text] [Related]
30. Integrative machine learning framework for the identification of cell-specific enhancers from the human genome.
Basith S; Hasan MM; Lee G; Wei L; Manavalan B
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34226917
[TBL] [Abstract][Full Text] [Related]
31. Identification of cis regulatory features in the embryonic zebrafish genome through large-scale profiling of H3K4me1 and H3K4me3 binding sites.
Aday AW; Zhu LJ; Lakshmanan A; Wang J; Lawson ND
Dev Biol; 2011 Sep; 357(2):450-62. PubMed ID: 21435340
[TBL] [Abstract][Full Text] [Related]
32. RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences.
Gao Y; Chen Y; Feng H; Zhang Y; Yue Z
Interdiscip Sci; 2022 Jun; 14(2):555-565. PubMed ID: 35190950
[TBL] [Abstract][Full Text] [Related]
33. Modeling the Evolutionary Architectures of Transcribed Human Enhancer Sequences Reveals Distinct Origins, Functions, and Associations with Human Trait Variation.
Fong SL; Capra JA
Mol Biol Evol; 2021 Aug; 38(9):3681-3696. PubMed ID: 33973014
[TBL] [Abstract][Full Text] [Related]
34. EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model.
Gan M; Li W; Jiang R
PeerJ; 2019; 7():e7657. PubMed ID: 31565573
[TBL] [Abstract][Full Text] [Related]
35. Computational schemes for the prediction and annotation of enhancers from epigenomic assays.
Whitaker JW; Nguyen TT; Zhu Y; Wildberg A; Wang W
Methods; 2015 Jan; 72():86-94. PubMed ID: 25461775
[TBL] [Abstract][Full Text] [Related]
36. Gene Regulatory Enhancers with Evolutionarily Conserved Activity Are More Pleiotropic than Those with Species-Specific Activity.
Fish A; Chen L; Capra JA
Genome Biol Evol; 2017 Oct; 9(10):2615-2625. PubMed ID: 28985297
[TBL] [Abstract][Full Text] [Related]
37. Landscape of enhancer disruption and functional screen in melanoma cells.
Wang Z; Luo M; Liang Q; Zhao K; Hu Y; Wang W; Feng X; Hu B; Teng J; You T; Li R; Bao Z; Pan W; Yang T; Zhang C; Li T; Dong X; Yi X; Liu B; Zhao L; Li M; Chen K; Song W; Yang J; Li MJ
Genome Biol; 2023 Oct; 24(1):248. PubMed ID: 37904237
[TBL] [Abstract][Full Text] [Related]
38. A systematic approach to identify functional motifs within vertebrate developmental enhancers.
Li Q; Ritter D; Yang N; Dong Z; Li H; Chuang JH; Guo S
Dev Biol; 2010 Jan; 337(2):484-95. PubMed ID: 19850031
[TBL] [Abstract][Full Text] [Related]
39. Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles.
Wang Y; Wang Y
NPJ Syst Biol Appl; 2024 May; 10(1):62. PubMed ID: 38816426
[TBL] [Abstract][Full Text] [Related]
40. Integrating diverse datasets improves developmental enhancer prediction.
Erwin GD; Oksenberg N; Truty RM; Kostka D; Murphy KK; Ahituv N; Pollard KS; Capra JA
PLoS Comput Biol; 2014 Jun; 10(6):e1003677. PubMed ID: 24967590
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
