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 *

234 related articles for article (PubMed ID: 34382071)

  • 1. 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]  

  • 2. Dissecting the Genome for Drug Response Prediction.
    Pepe G; Carrino C; Parca L; Helmer-Citterich M
    Methods Mol Biol; 2022; 2449():187-196. PubMed ID: 35507263
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.
    Lin E; Lin CH; Lane HY
    Int J Mol Sci; 2020 Feb; 21(3):. PubMed ID: 32024055
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics.
    Sharifi-Noghabi H; Peng S; Zolotareva O; Collins CC; Ester M
    Bioinformatics; 2020 Jul; 36(Suppl_1):i380-i388. PubMed ID: 32657371
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Deep learning of pharmacogenomics resources: moving towards precision oncology.
    Chiu YC; Chen HH; Gorthi A; Mostavi M; Zheng S; Huang Y; Chen Y
    Brief Bioinform; 2020 Dec; 21(6):2066-2083. PubMed ID: 31813953
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction.
    Eckhart L; Lenhof K; Rolli LM; Lenhof HP
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38797968
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning.
    Zhang X; Jang MI; Zheng Z; Gao A; Lin Z; Kim KY
    Anticancer Res; 2021 May; 41(5):2419-2429. PubMed ID: 33952467
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1.
    Nunez JJ; Nguyen TT; Zhou Y; Cao B; Ng RT; Chen J; Frey BN; Milev R; Müller DJ; Rotzinger S; Soares CN; Uher R; Kennedy SH; Lam RW
    PLoS One; 2021; 16(6):e0253023. PubMed ID: 34181661
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ensembled machine learning framework for drug sensitivity prediction.
    Sharma A; Rani R
    IET Syst Biol; 2020 Feb; 14(1):39-46. PubMed ID: 31931480
    [TBL] [Abstract][Full Text] [Related]  

  • 14. kESVR: An Ensemble Model for Drug Response Prediction in Precision Medicine Using Cancer Cell Lines Gene Expression.
    Majumdar A; Liu Y; Lu Y; Wu S; Cheng L
    Genes (Basel); 2021 May; 12(6):. PubMed ID: 34070793
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.
    Huang C; Mezencev R; McDonald JF; Vannberg F
    PLoS One; 2017; 12(10):e0186906. PubMed ID: 29073279
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning in oncological pharmacogenomics: advancing personalized chemotherapy.
    Avci CB; Bagca BG; Shademan B; Takanlou LS; Takanlou MS; Nourazarian A
    Funct Integr Genomics; 2024 Oct; 24(5):182. PubMed ID: 39365298
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Prediction of anti-cancer drug response by kernelized multi-task learning.
    Tan M
    Artif Intell Med; 2016 Oct; 73():70-77. PubMed ID: 27926382
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PANCDR: precise medicine prediction using an adversarial network for cancer drug response.
    Kim J; Park SH; Lee H
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38487849
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity.
    Wang H; Xi J; Wang M; Li A
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):587-598. PubMed ID: 30106738
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.