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.


Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

318 related articles for article (PubMed ID: 34012960)

  • 1. Evaluating DNA Methylation, Gene Expression, Somatic Mutation, and Their Combinations in Inferring Tumor Tissue-of-Origin.
    Liu H; Qiu C; Wang B; Bing P; Tian G; Zhang X; Ma J; He B; Yang J
    Front Cell Dev Biol; 2021; 9():619330. PubMed ID: 34012960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. TOOme: A Novel Computational Framework to Infer Cancer Tissue-of-Origin by Integrating Both Gene Mutation and Expression.
    He B; Lang J; Wang B; Liu X; Lu Q; He J; Gao W; Bing P; Tian G; Yang J
    Front Bioeng Biotechnol; 2020; 8():394. PubMed ID: 32509741
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying cancer tissue-of-origin by a novel machine learning method based on expression quantitative trait loci.
    Miao Y; Zhang X; Chen S; Zhou W; Xu D; Shi X; Li J; Tu J; Yuan X; Lv K; Tian G
    Front Oncol; 2022; 12():946552. PubMed ID: 36016607
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting Cancer Tissue-of-Origin by a Machine Learning Method Using DNA Somatic Mutation Data.
    Liu X; Li L; Peng L; Wang B; Lang J; Lu Q; Zhang X; Sun Y; Tian G; Zhang H; Zhou L
    Front Genet; 2020; 11():674. PubMed ID: 32760423
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation.
    He B; Dai C; Lang J; Bing P; Tian G; Wang B; Yang J
    Biochim Biophys Acta Mol Basis Dis; 2020 Nov; 1866(11):165916. PubMed ID: 32771416
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence.
    Zhao Y; Pan Z; Namburi S; Pattison A; Posner A; Balachander S; Paisie CA; Reddi HV; Rueter J; Gill AJ; Fox S; Raghav KPS; Flynn WF; Tothill RW; Li S; Karuturi RKM; George J
    EBioMedicine; 2020 Nov; 61():103030. PubMed ID: 33039710
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A molecular approach integrating genomic and DNA methylation profiling for tissue of origin identification in lung-specific cancer of unknown primary.
    Chen K; Zhang F; Yu X; Huang Z; Gong L; Xu Y; Li H; Yu S; Fan Y
    J Transl Med; 2022 Apr; 20(1):158. PubMed ID: 35382836
    [TBL] [Abstract][Full Text] [Related]  

  • 8. TOD-CUP: a gene expression rank-based majority vote algorithm for tissue origin diagnosis of cancers of unknown primary.
    Shen Y; Chu Q; Yin X; He Y; Bai P; Wang Y; Fang W; Timko MP; Fan L; Jiang W
    Brief Bioinform; 2021 Mar; 22(2):2106-2118. PubMed ID: 32266390
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel.
    Sun M; Xu B; Chen C; Zhu Y; Li X; Chen K
    Clin Epigenetics; 2024 Feb; 16(1):25. PubMed ID: 38336771
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Tumor Tissue of Origin with RNA-Seq Data and Using Gradient Boosting Strategy.
    Li R; Liao B; Wang B; Dai C; Liang X; Tian G; Wu F
    Biomed Res Int; 2021; 2021():6653793. PubMed ID: 33681364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations.
    Zhang Y; Feng T; Wang S; Dong R; Yang J; Su J; Wang B
    Front Genet; 2020; 11():585029. PubMed ID: 33329723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Image-based deep learning model using DNA methylation data predicts the origin of cancer of unknown primary.
    Hwang J; Lee Y; Yoo SK; Kim JI
    Neoplasia; 2024 Sep; 55():101021. PubMed ID: 38943996
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimen.
    Marquard AM; Birkbak NJ; Thomas CE; Favero F; Krzystanek M; Lefebvre C; Ferté C; Jamal-Hanjani M; Wilson GA; Shafi S; Swanton C; André F; Szallasi Z; Eklund AC
    BMC Med Genomics; 2015 Oct; 8():58. PubMed ID: 26429708
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features.
    Nguyen L; Van Hoeck A; Cuppen E
    Nat Commun; 2022 Jul; 13(1):4013. PubMed ID: 35817764
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pan-Cancer DNA Methylation Analysis and Tumor Origin Identification of Carcinoma of Unknown Primary Site Based on Multi-Omics.
    Liu P
    Front Genet; 2021; 12():798748. PubMed ID: 35069697
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Machine Learning Method to Trace Cancer Primary Lesion Using Microarray-Based Gene Expression Data.
    Lu Q; Chen F; Li Q; Chen L; Tong L; Tian G; Zhou X
    Front Oncol; 2022; 12():832567. PubMed ID: 35530331
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The practical utility of AI-assisted molecular profiling in the diagnosis and management of cancer of unknown primary: an updated review.
    Lorkowski SW; Dermawan JK; Rubin BP
    Virchows Arch; 2024 Feb; 484(2):369-375. PubMed ID: 37999736
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel XGBoost Method to Infer the Primary Lesion of 20 Solid Tumor Types From Gene Expression Data.
    Chen S; Zhou W; Tu J; Li J; Wang B; Mo X; Tian G; Lv K; Huang Z
    Front Genet; 2021; 12():632761. PubMed ID: 33613644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles.
    Modhukur V; Sharma S; Mondal M; Lawarde A; Kask K; Sharma R; Salumets A
    Cancers (Basel); 2021 Jul; 13(15):. PubMed ID: 34359669
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations.
    Zelli V; Manno A; Compagnoni C; Ibraheem RO; Zazzeroni F; Alesse E; Rossi F; Arbib C; Tessitore A
    J Transl Med; 2023 Nov; 21(1):836. PubMed ID: 37990214
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.