BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 25640309)

  • 1. Systematic identification of molecular links between core and candidate genes in breast cancer.
    Arroyo R; Suñé G; Zanzoni A; Duran-Frigola M; Alcalde V; Stracker TH; Soler-López M; Aloy P
    J Mol Biol; 2015 Mar; 427(6 Pt B):1436-1450. PubMed ID: 25640309
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of breast cancer candidate genes using gene co-expression and protein-protein interaction information.
    Yue Z; Li HT; Yang Y; Hussain S; Zheng CH; Xia J; Chen Y
    Oncotarget; 2016 Jun; 7(24):36092-36100. PubMed ID: 27150055
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Molecular-level effects of eribulin and paclitaxel on breast cancer based on differential co-expression network analysis.
    Qin J; Chen YH
    Genet Mol Res; 2016 Jul; 15(2):. PubMed ID: 27420999
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PPIXpress: construction of condition-specific protein interaction networks based on transcript expression.
    Will T; Helms V
    Bioinformatics; 2016 Feb; 32(4):571-8. PubMed ID: 26508756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Network topology measures for identifying disease-gene association in breast cancer.
    Ramadan E; Alinsaif S; Hassan MR
    BMC Bioinformatics; 2016 Jul; 17 Suppl 7(Suppl 7):274. PubMed ID: 27454166
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Molecular Biology Networks and Key Gene Regulators for Inflammatory Biomarkers Shared by Breast Cancer Development: Multi-Omics Systems Analysis.
    Jung SY; Papp JC; Pellegrini M; Yu H; Sobel EM
    Biomolecules; 2021 Sep; 11(9):. PubMed ID: 34572592
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A network-based approach to identify disease-associated gene modules through integrating DNA methylation and gene expression.
    Zhang Y; Zhang J; Liu Z; Liu Y; Tuo S
    Biochem Biophys Res Commun; 2015 Sep; 465(3):437-42. PubMed ID: 26282201
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Network modeling links breast cancer susceptibility and centrosome dysfunction.
    Pujana MA; Han JD; Starita LM; Stevens KN; Tewari M; Ahn JS; Rennert G; Moreno V; Kirchhoff T; Gold B; Assmann V; Elshamy WM; Rual JF; Levine D; Rozek LS; Gelman RS; Gunsalus KC; Greenberg RA; Sobhian B; Bertin N; Venkatesan K; Ayivi-Guedehoussou N; Solé X; Hernández P; Lázaro C; Nathanson KL; Weber BL; Cusick ME; Hill DE; Offit K; Livingston DM; Gruber SB; Parvin JD; Vidal M
    Nat Genet; 2007 Nov; 39(11):1338-49. PubMed ID: 17922014
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.
    Chen J; Xu J; Li Y; Zhang J; Chen H; Lu J; Wang Z; Zhao X; Xu K; Li Y; Li X; Zhang Y
    Oncotarget; 2017 Feb; 8(6):10171-10184. PubMed ID: 28052038
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Convergence and divergence of genetic and modular networks between diabetes and breast cancer.
    Zhang X; Zhang Y; Yu Y; Liu J; Yuan Y; Zhao Y; Li H; Wang J; Wang Z
    J Cell Mol Med; 2015 May; 19(5):1094-102. PubMed ID: 25752479
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.
    Firoozbakht F; Rezaeian I; D'agnillo M; Porter L; Rueda L; Ngom A
    J Comput Biol; 2017 Aug; 24(8):756-766. PubMed ID: 28650678
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein interaction disruption in cancer.
    Ruffalo M; Bar-Joseph Z
    BMC Cancer; 2019 Apr; 19(1):370. PubMed ID: 31014259
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis.
    Wu D; Han B; Guo L; Fan Z
    J Obstet Gynaecol; 2016 Jul; 36(5):615-21. PubMed ID: 26804550
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Highly informative marker sets consisting of genes with low individual degree of differential expression.
    Galatenko VV; Shkurnikov MY; Samatov TR; Galatenko AV; Mityakina IA; Kaprin AD; Schumacher U; Tonevitsky AG
    Sci Rep; 2015 Oct; 5():14967. PubMed ID: 26446398
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of novel biomarkers associated with poor patient outcomes in invasive breast carcinoma.
    Canevari RA; Marchi FA; Domingues MA; de Andrade VP; Caldeira JR; Verjovski-Almeida S; Rogatto SR; Reis EM
    Tumour Biol; 2016 Oct; 37(10):13855-13870. PubMed ID: 27485113
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Network Meta-Analysis on the Effects of DNA Damage Response-Related Gene Mutations on Overall Survival of Breast Cancer Based on TCGA Database.
    Liu C; Chang H; Li XH; Qi YF; Wang JO; Zhang Y; Yang XH
    J Cell Biochem; 2017 Dec; 118(12):4728-4734. PubMed ID: 28513990
    [TBL] [Abstract][Full Text] [Related]  

  • 18. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
    Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis.
    Raj U; Aier I; Semwal R; Varadwaj PK
    Sci Rep; 2017 Jun; 7(1):3229. PubMed ID: 28607444
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High-throughput «Omics» technologies: New tools for the study of triple-negative breast cancer.
    Judes G; Rifaï K; Daures M; Dubois L; Bignon YJ; Penault-Llorca F; Bernard-Gallon D
    Cancer Lett; 2016 Nov; 382(1):77-85. PubMed ID: 26965997
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.