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 *

237 related articles for article (PubMed ID: 31950132)

  • 21. tRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results.
    Gao X; Wei Z; Hakonarson H
    Hum Hered; 2018; 83(3):163-172. PubMed ID: 30685762
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep Learning for Human Disease Detection, Subtype Classification, and Treatment Response Prediction Using Epigenomic Data.
    Nguyen TM; Kim N; Kim DH; Le HL; Piran MJ; Um SJ; Kim JH
    Biomedicines; 2021 Nov; 9(11):. PubMed ID: 34829962
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells.
    Kuenzi BM; Park J; Fong SH; Sanchez KS; Lee J; Kreisberg JF; Ma J; Ideker T
    Cancer Cell; 2020 Nov; 38(5):672-684.e6. PubMed ID: 33096023
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting breast cancer drug response using a multiple-layer cell line drug response network model.
    Huang S; Hu P; Lakowski TM
    BMC Cancer; 2021 May; 21(1):648. PubMed ID: 34059012
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep learning methods for drug response prediction in cancer: Predominant and emerging trends.
    Partin A; Brettin TS; Zhu Y; Narykov O; Clyde A; Overbeek J; Stevens RL
    Front Med (Lausanne); 2023; 10():1086097. PubMed ID: 36873878
    [TBL] [Abstract][Full Text] [Related]  

  • 29. SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures.
    Zuo Z; Wang P; Chen X; Tian L; Ge H; Qian D
    BMC Bioinformatics; 2021 Sep; 22(1):434. PubMed ID: 34507532
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing.
    Zhao K; So HC
    Methods Mol Biol; 2019; 1903():219-237. PubMed ID: 30547445
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.
    Lin E; Lin CH; Lane HY
    Int J Mol Sci; 2021 Jul; 22(15):. PubMed ID: 34360676
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.
    Feng C; Chen H; Yuan X; Sun M; Chu K; Liu H; Rui M
    J Chem Inf Model; 2019 Jul; 59(7):3240-3250. PubMed ID: 31188585
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction.
    Lee Y; Nam S
    Int J Mol Sci; 2021 Jul; 22(14):. PubMed ID: 34299341
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 35. RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance.
    Choi J; Park S; Ahn J
    Sci Rep; 2020 Feb; 10(1):1861. PubMed ID: 32024872
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of synergistic drug combinations using PCA-initialized deep learning.
    Ma J; Motsinger-Reif A
    BioData Min; 2021 Oct; 14(1):46. PubMed ID: 34670583
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A community effort to assess and improve drug sensitivity prediction algorithms.
    Costello JC; Heiser LM; Georgii E; Gönen M; Menden MP; Wang NJ; Bansal M; Ammad-ud-din M; Hintsanen P; Khan SA; Mpindi JP; Kallioniemi O; Honkela A; Aittokallio T; Wennerberg K; ; Collins JJ; Gallahan D; Singer D; Saez-Rodriguez J; Kaski S; Gray JW; Stolovitzky G
    Nat Biotechnol; 2014 Dec; 32(12):1202-12. PubMed ID: 24880487
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
    Zhou LQ; Wu XL; Huang SY; Wu GG; Ye HR; Wei Q; Bao LY; Deng YB; Li XR; Cui XW; Dietrich CF
    Radiology; 2020 Jan; 294(1):19-28. PubMed ID: 31746687
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer.
    Malik V; Kalakoti Y; Sundar D
    BMC Genomics; 2021 Mar; 22(1):214. PubMed ID: 33761889
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network.
    Liu P; Li H; Li S; Leung KS
    BMC Bioinformatics; 2019 Jul; 20(1):408. PubMed ID: 31357929
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.