BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 32329416)

  • 21. Prognostic signature associated with radioresistance in head and neck cancer via transcriptomic and bioinformatic analyses.
    You GR; Cheng AJ; Lee LY; Huang YC; Liu H; Chen YJ; Chang JT
    BMC Cancer; 2019 Jan; 19(1):64. PubMed ID: 30642292
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Node-based learning of differential networks from multi-platform gene expression data.
    Ou-Yang L; Zhang XF; Wu M; Li XL
    Methods; 2017 Oct; 129():41-49. PubMed ID: 28579401
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Gene regulatory network from microarray data of colon cancer patients using TSK-type recurrent neural fuzzy network.
    Vineetha S; Chandra Shekara Bhat C; Idicula SM
    Gene; 2012 Sep; 506(2):408-16. PubMed ID: 22759510
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose-response curve.
    Kolnohuz A; Ebrahimpour L; Yolchuyeva S; Manem VSK
    BMC Cancer; 2024 Jan; 24(1):2. PubMed ID: 38166789
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Inferences of individual drug responses across diverse cancer types using a novel competing endogenous RNA network.
    Zhang Y; Li X; Zhou D; Zhi H; Wang P; Gao Y; Guo M; Yue M; Wang Y; Shen W; Ning S; Li Y; Li X
    Mol Oncol; 2018 Sep; 12(9):1429-1446. PubMed ID: 29464864
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development and Validation of a Novel Radiosensitivity Signature in Human Breast Cancer.
    Speers C; Zhao S; Liu M; Bartelink H; Pierce LJ; Feng FY
    Clin Cancer Res; 2015 Aug; 21(16):3667-77. PubMed ID: 25904749
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
    Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
    Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Inferring regulatory networks.
    Li H; Xuan J; Wang Y; Zhan M
    Front Biosci; 2008 Jan; 13():263-75. PubMed ID: 17981545
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identifying differential networks based on multi-platform gene expression data.
    Ou-Yang L; Yan H; Zhang XF
    Mol Biosyst; 2016 Dec; 13(1):183-192. PubMed ID: 27868129
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Fused Regression for Multi-source Gene Regulatory Network Inference.
    Lam KY; Westrick ZM; Müller CL; Christiaen L; Bonneau R
    PLoS Comput Biol; 2016 Dec; 12(12):e1005157. PubMed ID: 27923054
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Prediction of radiosensitive patients with gastric cancer by developing gene signature.
    Zhou J; Wu X; Li G; Gao X; Zhai M; Chen W; Hu H; Tang Z
    Int J Oncol; 2017 Oct; 51(4):1067-1076. PubMed ID: 28902346
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm.
    Oh JH; Deasy JO
    BMC Bioinformatics; 2014; 15 Suppl 7(Suppl 7):S5. PubMed ID: 25077716
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of chemo-response in serous ovarian cancer.
    Gonzalez Bosquet J; Newtson AM; Chung RK; Thiel KW; Ginader T; Goodheart MJ; Leslie KK; Smith BJ
    Mol Cancer; 2016 Oct; 15(1):66. PubMed ID: 27756408
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
    Lu X; Li X; Liu P; Qian X; Miao Q; Peng S
    Molecules; 2018 Jan; 23(2):. PubMed ID: 29364829
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development of a radiosensitivity gene signature for patients with soft tissue sarcoma.
    Tang Z; Zeng Q; Li Y; Zhang X; Ma J; Suto MJ; Xu B; Yi N
    Oncotarget; 2017 Apr; 8(16):27428-27439. PubMed ID: 28404969
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures.
    Li Y; Sahni N; Yi S
    Oncotarget; 2016 Nov; 7(48):78841-78849. PubMed ID: 27791983
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A new multiple regression approach for the construction of genetic regulatory networks.
    Zhang SQ; Ching WK; Tsing NK; Leung HY; Guo D
    Artif Intell Med; 2010; 48(2-3):153-60. PubMed ID: 19963359
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A network approach to quantifying radiotherapy effect on cancer: Radiosensitive gene group centrality.
    Yao YX; Bing ZT; Huang L; Huang ZG; Lai YC
    J Theor Biol; 2019 Feb; 462():528-536. PubMed ID: 30521864
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer.
    Chen X; Xu Y; Liao X; Liao R; Zhang L; Niu K; Li T; Li D; Chen Z; Duan Y; Sun J
    Tumour Biol; 2016 Sep; 37(9):11927-11936. PubMed ID: 27075472
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Tumour and normal tissue radiosensitivity.
    Lapierre A; Gourgou S; Brengues M; Quéro L; Deutsch É; Milliat F; Riou O; Azria D
    Cancer Radiother; 2022; 26(1-2):96-103. PubMed ID: 34953704
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.