BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

278 related articles for article (PubMed ID: 32732264)

  • 1. Cross-species analysis of enhancer logic using deep learning.
    Minnoye L; Taskiran II; Mauduit D; Fazio M; Van Aerschot L; Hulselmans G; Christiaens V; Makhzami S; Seltenhammer M; Karras P; Primot A; Cadieu E; van Rooijen E; Marine JC; Egidy G; Ghanem GE; Zon L; Wouters J; Aerts S
    Genome Res; 2020 Dec; 30(12):1815-1834. PubMed ID: 32732264
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model.
    Tang L; Hill MC; Wang J; Wang J; Martin JF; Li M
    Genome Res; 2020 Dec; 30(12):1835-1845. PubMed ID: 33184104
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions.
    Kim SG; Theera-Ampornpunt N; Fang CH; Harwani M; Grama A; Chaterji S
    BMC Syst Biol; 2016 Aug; 10 Suppl 2(Suppl 2):54. PubMed ID: 27490187
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characterization of sequence determinants of enhancer function using natural genetic variation.
    Yang MG; Ling E; Cowley CJ; Greenberg ME; Vierbuchen T
    Elife; 2022 Aug; 11():. PubMed ID: 36043696
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning.
    Atak ZK; Taskiran II; Demeulemeester J; Flerin C; Mauduit D; Minnoye L; Hulselmans G; Christiaens V; Ghanem GE; Wouters J; Aerts S
    Genome Res; 2021 Jun; 31(6):1082-1096. PubMed ID: 33832990
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin.
    Kaplow IM; Schäffer DE; Wirthlin ME; Lawler AJ; Brown AR; Kleyman M; Pfenning AR
    BMC Genomics; 2022 Apr; 23(1):291. PubMed ID: 35410163
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhancer-MDLF: a novel deep learning framework for identifying cell-specific enhancers.
    Zhang Y; Zhang P; Wu H
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38485768
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cell-type-directed design of synthetic enhancers.
    Taskiran II; Spanier KI; Dickmänken H; Kempynck N; Pančíková A; Ekşi EC; Hulselmans G; Ismail JN; Theunis K; Vandepoel R; Christiaens V; Mauduit D; Aerts S
    Nature; 2024 Feb; 626(7997):212-220. PubMed ID: 38086419
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational Approaches for Mining GRO-Seq Data to Identify and Characterize Active Enhancers.
    Nagari A; Murakami S; Malladi VS; Kraus WL
    Methods Mol Biol; 2017; 1468():121-38. PubMed ID: 27662874
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.
    Liu Y; Wang Z; Yuan H; Zhu G; Zhang Y
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37539835
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A new method for enhancer prediction based on deep belief network.
    Bu H; Gan Y; Wang Y; Zhou S; Guan J
    BMC Bioinformatics; 2017 Oct; 18(Suppl 12):418. PubMed ID: 29072144
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cross-species enhancer prediction using machine learning.
    MacPhillamy C; Alinejad-Rokny H; Pitchford WS; Low WY
    Genomics; 2022 Sep; 114(5):110454. PubMed ID: 36030022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BiRen: predicting enhancers with a deep-learning-based model using the DNA sequence alone.
    Yang B; Liu F; Ren C; Ouyang Z; Xie Z; Bo X; Shu W
    Bioinformatics; 2017 Jul; 33(13):1930-1936. PubMed ID: 28334114
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.
    Chen S; Gan M; Lv H; Jiang R
    Genomics Proteomics Bioinformatics; 2021 Aug; 19(4):565-577. PubMed ID: 33581335
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Efficient Lightweight Hybrid Model with Attention Mechanism for Enhancer Sequence Recognition.
    Aladhadh S; Almatroodi SA; Habib S; Alabdulatif A; Khattak SU; Islam M
    Biomolecules; 2022 Dec; 13(1):. PubMed ID: 36671456
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Functional in vivo characterization of sox10 enhancers in neural crest and melanoma development.
    Cunningham RL; Kramer ET; DeGeorgia SK; Godoy PM; Zarov AP; Seneviratne S; Grigura V; Kaufman CK
    Commun Biol; 2021 Jun; 4(1):695. PubMed ID: 34099848
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination.
    Xu Q; Georgiou G; Frölich S; van der Sande M; Veenstra GJC; Zhou H; van Heeringen SJ
    Nucleic Acids Res; 2021 Aug; 49(14):7966-7985. PubMed ID: 34244796
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ATAC-Seq Reveals an
    Galang G; Mandla R; Ruan H; Jung C; Sinha T; Stone NR; Wu RS; Mannion BJ; Allu PKR; Chang K; Rammohan A; Shi MB; Pennacchio LA; Black BL; Vedantham V
    Circ Res; 2020 Dec; 127(12):1502-1518. PubMed ID: 33044128
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Progress and challenges in bioinformatics approaches for enhancer identification.
    Kleftogiannis D; Kalnis P; Bajic VB
    Brief Bioinform; 2016 Nov; 17(6):967-979. PubMed ID: 26634919
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhancer Predictions and Genome-Wide Regulatory Circuits.
    Beer MA; Shigaki D; Huangfu D
    Annu Rev Genomics Hum Genet; 2020 Aug; 21():37-54. PubMed ID: 32443951
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.