These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

262 related articles for article (PubMed ID: 23355484)

  • 1. Comparison and validation of genomic predictors for anticancer drug sensitivity.
    Papillon-Cavanagh S; De Jay N; Hachem N; Olsen C; Bontempi G; Aerts HJ; Quackenbush J; Haibe-Kains B
    J Am Med Inform Assoc; 2013; 20(4):597-602. PubMed ID: 23355484
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Anticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selection.
    Dong Z; Zhang N; Li C; Wang H; Fang Y; Wang J; Zheng X
    BMC Cancer; 2015 Jun; 15():489. PubMed ID: 26121976
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computational identification of multi-omic correlates of anticancer therapeutic response.
    Stetson LC; Pearl T; Chen Y; Barnholtz-Sloan JS
    BMC Genomics; 2014; 15 Suppl 7(Suppl 7):S2. PubMed ID: 25573145
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.
    Miao R; Chen HH; Dang Q; Xia LY; Yang ZY; He MF; Hao ZF; Liang Y
    Pharmacol Res; 2020 Sep; 159():104932. PubMed ID: 32473309
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration.
    Wang Y; Yang Y; Chen S; Wang J
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33822890
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction.
    Sotudian S; Paschalidis IC
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2324-2333. PubMed ID: 34043512
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine.
    Feng F; Shen B; Mou X; Li Y; Li H
    J Genet Genomics; 2021 Jul; 48(7):540-551. PubMed ID: 34023295
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization.
    Wang L; Li X; Zhang L; Gao Q
    BMC Cancer; 2017 Aug; 17(1):513. PubMed ID: 28768489
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
    Barretina J; Caponigro G; Stransky N; Venkatesan K; Margolin AA; Kim S; Wilson CJ; Lehár J; Kryukov GV; Sonkin D; Reddy A; Liu M; Murray L; Berger MF; Monahan JE; Morais P; Meltzer J; Korejwa A; Jané-Valbuena J; Mapa FA; Thibault J; Bric-Furlong E; Raman P; Shipway A; Engels IH; Cheng J; Yu GK; Yu J; Aspesi P; de Silva M; Jagtap K; Jones MD; Wang L; Hatton C; Palescandolo E; Gupta S; Mahan S; Sougnez C; Onofrio RC; Liefeld T; MacConaill L; Winckler W; Reich M; Li N; Mesirov JP; Gabriel SB; Getz G; Ardlie K; Chan V; Myer VE; Weber BL; Porter J; Warmuth M; Finan P; Harris JL; Meyerson M; Golub TR; Morrissey MP; Sellers WR; Schlegel R; Garraway LA
    Nature; 2012 Mar; 483(7391):603-7. PubMed ID: 22460905
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimal drug prediction from personal genomics profiles.
    Sheng J; Li F; Wong ST
    IEEE J Biomed Health Inform; 2015 Jul; 19(4):1264-70. PubMed ID: 25781964
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priors.
    Jang IS; Dienstmann R; Margolin AA; Guinney J
    Pac Symp Biocomput; 2015; 20():32-43. PubMed ID: 25592566
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating the consistency of large-scale pharmacogenomic studies.
    Rahman R; Dhruba SR; Matlock K; De-Niz C; Ghosh S; Pal R
    Brief Bioinform; 2019 Sep; 20(5):1734-1753. PubMed ID: 31846027
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature.
    Chang Y; Park H; Yang HJ; Lee S; Lee KY; Kim TS; Jung J; Shin JM
    Sci Rep; 2018 Jun; 8(1):8857. PubMed ID: 29891981
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of genomic predictors of radiation sensitivity using preclinical data.
    Manem VSK
    BMC Cancer; 2021 Aug; 21(1):937. PubMed ID: 34416855
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes.
    Liu C; Zhao J; Lu W; Dai Y; Hockings J; Zhou Y; Nussinov R; Eng C; Cheng F
    PLoS Comput Biol; 2020 Feb; 16(2):e1007701. PubMed ID: 32101536
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bimodal Gene Expression in Patients with Cancer Provides Interpretable Biomarkers for Drug Sensitivity.
    Ba-Alawi W; Nair SK; Li B; Mammoliti A; Smirnov P; Mer AS; Penn LZ; Haibe-Kains B
    Cancer Res; 2022 Jul; 82(13):2378-2387. PubMed ID: 35536872
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data.
    Jang IS; Neto EC; Guinney J; Friend SH; Margolin AA
    Pac Symp Biocomput; 2014; ():63-74. PubMed ID: 24297534
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AICM: A Genuine Framework for Correcting Inconsistency Between Large Pharmacogenomics Datasets.
    Hu ZT; Ye Y; Newbury PA; Huang H; Chen B
    Pac Symp Biocomput; 2019; 24():248-259. PubMed ID: 30864327
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.
    Sharifi-Noghabi H; Jahangiri-Tazehkand S; Smirnov P; Hon C; Mammoliti A; Nair SK; Mer AS; Ester M; Haibe-Kains B
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34382071
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling.
    Piyawajanusorn C; Nguyen LC; Ghislat G; Ballester PJ
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34368843
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.