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 *

100 related articles for article (PubMed ID: 25592602)

  • 1. T-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes.
    Huang GT; Tsamardinos I; Raghu V; Kaminski N; Benos PV
    Pac Symp Biocomput; 2015; 20():431-42. PubMed ID: 25592602
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings.
    Gilhodes J; Dalenc F; Gal J; Zemmour C; Leconte E; Boher JM; Filleron T
    Comput Math Methods Med; 2020; 2020():6795392. PubMed ID: 32670394
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spectral clustering strategies for heterogeneous disease expression data.
    Huang GT; Cunningham KI; Benos PV; Chennubhotla CS
    Pac Symp Biocomput; 2013; ():212-23. PubMed ID: 23424126
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robustness of chemometrics-based feature selection methods in early cancer detection and biomarker discovery.
    Lee HW; Lawton C; Na YJ; Yoon S
    Stat Appl Genet Mol Biol; 2013 Mar; 12(2):207-23. PubMed ID: 23502343
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combined Mapping of Multiple clUsteriNg ALgorithms (COMMUNAL): A Robust Method for Selection of Cluster Number, K.
    Sweeney TE; Chen AC; Gevaert O
    Sci Rep; 2015 Nov; 5():16971. PubMed ID: 26581809
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The feature selection bias problem in relation to high-dimensional gene data.
    Krawczuk J; Łukaszuk T
    Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Constructing molecular classifiers for the accurate prognosis of lung adenocarcinoma.
    Guo L; Ma Y; Ward R; Castranova V; Shi X; Qian Y
    Clin Cancer Res; 2006 Jun; 12(11 Pt 1):3344-54. PubMed ID: 16740756
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An efficient statistical feature selection approach for classification of gene expression data.
    Chandra B; Gupta M
    J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Biomarker identification and cancer classification based on microarray data using Laplace naive Bayes model with mean shrinkage.
    Wu MY; Dai DQ; Shi Y; Yan H; Zhang XF
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1649-62. PubMed ID: 22868679
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests.
    Hu C; Steingrimsson JA
    J Biopharm Stat; 2018; 28(2):333-349. PubMed ID: 29048993
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust feature selection to predict tumor treatment outcome.
    Mi H; Petitjean C; Dubray B; Vera P; Ruan S
    Artif Intell Med; 2015 Jul; 64(3):195-204. PubMed ID: 26303106
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feature selection and nearest centroid classification for protein mass spectrometry.
    Levner I
    BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving the computational efficiency of recursive cluster elimination for gene selection.
    Luo LK; Huang DF; Ye LJ; Zhou QF; Shao GF; Peng H
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):122-9. PubMed ID: 20479497
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust and efficient identification of biomarkers by classifying features on graphs.
    Hwang T; Sicotte H; Tian Z; Wu B; Kocher JP; Wigle DA; Kumar V; Kuang R
    Bioinformatics; 2008 Sep; 24(18):2023-9. PubMed ID: 18653521
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving stability of prediction models based on correlated omics data by using network approaches.
    Tissier R; Houwing-Duistermaat J; Rodríguez-Girondo M
    PLoS One; 2018; 13(2):e0192853. PubMed ID: 29462177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new unsupervised feature ranking method for gene expression data based on consensus affinity.
    Zhang S; Wong HS; Shen Y; Xie D
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):1257-63. PubMed ID: 22371430
    [TBL] [Abstract][Full Text] [Related]  

  • 20. BAYESIAN BICLUSTERING FOR PATIENT STRATIFICATION.
    Khakabimamaghani S; Ester M
    Pac Symp Biocomput; 2016; 21():345-56. PubMed ID: 26776199
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.