BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

96 related articles for article (PubMed ID: 18312219)

  • 1. Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approach.
    Heidema AG; Nagelkerke N
    Stat Appl Genet Mol Biol; 2008; 7(2):Article5. PubMed ID: 18312219
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A classification model for the Leiden proteomics competition.
    Hoefsloot HC; Smit S; Smilde AK
    Stat Appl Genet Mol Biol; 2008; 7(2):Article8. PubMed ID: 18312222
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of breast cancer versus normal samples from mass spectrometry profiles using linear discriminant analysis of important features selected by random forest.
    Datta S
    Stat Appl Genet Mol Biol; 2008; 7(2):Article7. PubMed ID: 18312221
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of the random forest classification method to peaks detected from mass spectrometric proteomic profiles of cancer patients and controls.
    Barrett JH; Cairns DA
    Stat Appl Genet Mol Biol; 2008; 7(2):Article4. PubMed ID: 18312218
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Support vector machine approach to separate control and breast cancer serum samples.
    Pham TV; van de Wiel MA; Jimenez CR
    Stat Appl Genet Mol Biol; 2008; 7(2):Article11. PubMed ID: 18312216
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Empirical Bayes logistic regression.
    Strimenopoulou F; Brown PJ
    Stat Appl Genet Mol Biol; 2008; 7(2):Article9. PubMed ID: 18312223
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combined experimental and statistical strategy for mass spectrometry based serum protein profiling for diagnosis of breast cancer: a case-control study.
    Callesen AK; Vach W; Jørgensen PE; Cold S; Tan Q; Depont Christensen R; Mogensen O; Kruse TA; Jensen ON; Madsen JS
    J Proteome Res; 2008 Apr; 7(4):1419-26. PubMed ID: 18303830
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Feature extraction and dimensionality reduction for mass spectrometry data.
    Liu Y
    Comput Biol Med; 2009 Sep; 39(9):818-23. PubMed ID: 19646687
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discrimination analysis of mass spectrometry proteomics for ovarian cancer detection.
    Hong YJ; Wang XD; Shen D; Zeng S
    Acta Pharmacol Sin; 2008 Oct; 29(10):1240-6. PubMed ID: 18817630
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of lung cancer patients by serum protein profiling using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.
    Han KQ; Huang G; Gao CF; Wang XL; Ma B; Sun LQ; Wei ZJ
    Am J Clin Oncol; 2008 Apr; 31(2):133-9. PubMed ID: 18391596
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A pilot study on the application of statistical classification procedures to molecular epidemiological data.
    Schwender H; Zucknick M; Ickstadt K; Bolt HM;
    Toxicol Lett; 2004 Jun; 151(1):291-9. PubMed ID: 15177665
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Clinical significance of serum proteomic patterns in diagnosis of breast cancer].
    Liu DH; Zhang LM; Feng WY
    Zhonghua Zhong Liu Za Zhi; 2006 Oct; 28(10):770-1. PubMed ID: 17366791
    [No Abstract]   [Full Text] [Related]  

  • 13. Case-control breast cancer study of MALDI-TOF proteomic mass spectrometry data on serum samples.
    van der Werff MP; Mertens B; de Noo ME; Bladergroen MR; Dalebout HC; Tollenaar RA; Deelder AM
    Stat Appl Genet Mol Biol; 2008; 7(2):Article2. PubMed ID: 18241195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clinical proteomics in breast cancer: a review.
    Gast MC; Schellens JH; Beijnen JH
    Breast Cancer Res Treat; 2009 Jul; 116(1):17-29. PubMed ID: 19082706
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Proteomic studies of early-stage and advanced ovarian cancer patients.
    Wang J; Zhang X; Ge X; Guo H; Xiong G; Zhu Y
    Gynecol Oncol; 2008 Oct; 111(1):111-9. PubMed ID: 18703221
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Establish predictive model of colorectal cancer by using surface enhanced laser desorption/ionization-time of flight-mass spectrometry].
    Lai YH; Xu JM; Yu XZ; Zhong YS; Wei Y; Ren L; Zhu DX; Liu YK; Niu WX; Qin XY
    Zhonghua Wai Ke Za Zhi; 2008 Jul; 46(13):995-7. PubMed ID: 19035201
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnosing breast cancer from FNAs: variable relevance in neural network and logistic regression models.
    Ohno-Machado L; Bialek D
    Stud Health Technol Inform; 1998; 52 Pt 1():537-40. PubMed ID: 10384515
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction of a multiple myeloma diagnostic model by magnetic bead-based MALDI-TOF mass spectrometry of serum and pattern recognition software.
    Wang QT; Li YZ; Liang YF; Hu CJ; Zhai YH; Zhao GF; Zhang J; Li N; Ni AP; Chen WM; Xu Y
    Anat Rec (Hoboken); 2009 Apr; 292(4):604-10. PubMed ID: 19301277
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting breast cancer survivability: a comparison of three data mining methods.
    Delen D; Walker G; Kadam A
    Artif Intell Med; 2005 Jun; 34(2):113-27. PubMed ID: 15894176
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Proteomics-based identification of alpha1-antitrypsin and haptoglobin precursors as novel serum markers in infiltrating ductal breast carcinomas.
    Hamrita B; Chahed K; Trimeche M; Guillier CL; Hammann P; Chaïeb A; Korbi S; Chouchane L
    Clin Chim Acta; 2009 Jun; 404(2):111-8. PubMed ID: 19306859
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.