BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

298 related articles for article (PubMed ID: 27585722)

  • 1. A simple gene set-based method accurately predicts the synergy of drug pairs.
    Hsu YC; Chiu YC; Chen Y; Hsiao TH; Chuang EY
    BMC Syst Biol; 2016 Aug; 10 Suppl 3(Suppl 3):66. PubMed ID: 27585722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In silico drug combination discovery for personalized cancer therapy.
    Jeon M; Kim S; Park S; Lee H; Kang J
    BMC Syst Biol; 2018 Mar; 12(Suppl 2):16. PubMed ID: 29560824
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Network Propagation Predicts Drug Synergy in Cancers.
    Li H; Li T; Quang D; Guan Y
    Cancer Res; 2018 Sep; 78(18):5446-5457. PubMed ID: 30054332
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.
    Li X; Xu Y; Cui H; Huang T; Wang D; Lian B; Li W; Qin G; Chen L; Xie L
    Artif Intell Med; 2017 Nov; 83():35-43. PubMed ID: 28583437
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An integrated framework for identification of effective and synergistic anti-cancer drug combinations.
    Sharma A; Rani R
    J Bioinform Comput Biol; 2018 Oct; 16(5):1850017. PubMed ID: 30304987
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predict effective drug combination by deep belief network and ontology fingerprints.
    Chen G; Tsoi A; Xu H; Zheng WJ
    J Biomed Inform; 2018 Sep; 85():149-154. PubMed ID: 30081101
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting drug synergy for precision medicine using network biology and machine learning.
    Cuvitoglu A; Zhou JX; Huang S; Isik Z
    J Bioinform Comput Biol; 2019 Apr; 17(2):1950012. PubMed ID: 31057072
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks.
    Alam W; Tayara H; Chong KT
    Comput Biol Med; 2024 Mar; 170():108007. PubMed ID: 38242015
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A community computational challenge to predict the activity of pairs of compounds.
    Bansal M; Yang J; Karan C; Menden MP; Costello JC; Tang H; Xiao G; Li Y; Allen J; Zhong R; Chen B; Kim M; Wang T; Heiser LM; Realubit R; Mattioli M; Alvarez MJ; Shen Y; ; Gallahan D; Singer D; Saez-Rodriguez J; Xie Y; Stolovitzky G; Califano A;
    Nat Biotechnol; 2014 Dec; 32(12):1213-22. PubMed ID: 25419740
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neighbor communities in drug combination networks characterize synergistic effect.
    Zou J; Ji P; Zhao YL; Li LL; Wei YQ; Chen YZ; Yang SY
    Mol Biosyst; 2012 Oct; 8(12):3185-96. PubMed ID: 23014807
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes.
    Regan-Fendt KE; Xu J; DiVincenzo M; Duggan MC; Shakya R; Na R; Carson WE; Payne PRO; Li F
    NPJ Syst Biol Appl; 2019; 5():6. PubMed ID: 30820351
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer.
    Malyutina A; Majumder MM; Wang W; Pessia A; Heckman CA; Tang J
    PLoS Comput Biol; 2019 May; 15(5):e1006752. PubMed ID: 31107860
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.
    Menden MP; Wang D; Mason MJ; Szalai B; Bulusu KC; Guan Y; Yu T; Kang J; Jeon M; Wolfinger R; Nguyen T; Zaslavskiy M; ; Jang IS; Ghazoui Z; Ahsen ME; Vogel R; Neto EC; Norman T; Tang EKY; Garnett MJ; Veroli GYD; Fawell S; Stolovitzky G; Guinney J; Dry JR; Saez-Rodriguez J
    Nat Commun; 2019 Jun; 10(1):2674. PubMed ID: 31209238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SNSynergy: Similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations.
    Huangfu X; Zhang C; Li H; Li S; Li Y
    Comput Biol Chem; 2024 Jun; 110():108054. PubMed ID: 38522389
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes.
    Liu Y; Zhao H
    Bioinformatics; 2016 Dec; 32(24):3782-3789. PubMed ID: 27540269
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models.
    Zhang T; Zhang L; Payne PRO; Li F
    Methods Mol Biol; 2021; 2194():223-238. PubMed ID: 32926369
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Stratification and prediction of drug synergy based on target functional similarity.
    Yang M; Jaaks P; Dry J; Garnett M; Menden MP; Saez-Rodriguez J
    NPJ Syst Biol Appl; 2020 Jun; 6(1):16. PubMed ID: 32487991
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Synergy assessment of fixed combinations of Herba Andrographidis and Radix Eleutherococci extracts by transcriptome-wide microarray profiling.
    Panossian A; Seo EJ; Wikman G; Efferth T
    Phytomedicine; 2015 Oct; 22(11):981-92. PubMed ID: 26407940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Drug synergy model for malignant diseases using deep learning.
    Rani P; Dutta K; Kumar V
    J Bioinform Comput Biol; 2023 Jun; 21(3):2350014. PubMed ID: 37350313
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
    Ding P; Shen C; Lai Z; Liang C; Li G; Luo J
    J Chem Inf Model; 2020 Jan; 60(1):37-46. PubMed ID: 31891264
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.