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 *

260 related articles for article (PubMed ID: 25350857)

  • 1. Supervised redundant feature detection for tumor classification.
    Zeng XQ; Li GZ
    BMC Med Genomics; 2014; 7 Suppl 2(Suppl 2):S5. PubMed ID: 25350857
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hybrid Feature Selection Algorithm mRMR-ICA for Cancer Classification from Microarray Gene Expression Data.
    Wang S; Kong W; Aorigele ; Deng J; Gao S; Zeng W
    Comb Chem High Throughput Screen; 2018; 21(6):420-430. PubMed ID: 29852866
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust feature selection for microarray data based on multicriterion fusion.
    Yang F; Mao KZ
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1080-92. PubMed ID: 21566255
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An entropy-based gene selection method for cancer classification using microarray data.
    Liu X; Krishnan A; Mondry A
    BMC Bioinformatics; 2005 Mar; 6():76. PubMed ID: 15790388
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.
    Alshamlan HM; Badr GH; Alohali YA
    Comput Biol Chem; 2015 Jun; 56():49-60. PubMed ID: 25880524
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios.
    Cascianelli S; Galzerano A; Masseroli M
    J Biomed Inform; 2023 Aug; 144():104457. PubMed ID: 37488024
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection.
    Yang JY; Li GZ; Meng HH; Yang MQ; Deng Y
    BMC Genomics; 2008; 9 Suppl 1(Suppl 1):S3. PubMed ID: 18366616
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dimension reduction with redundant gene elimination for tumor classification.
    Zeng XQ; Li GZ; Yang JY; Yang MQ; Wu GF
    BMC Bioinformatics; 2008 May; 9 Suppl 6(Suppl 6):S8. PubMed ID: 18541061
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis.
    Li GZ; Bu HL; Yang MQ; Zeng XQ; Yang JY
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S24. PubMed ID: 18831790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. SVM-RFE with MRMR filter for gene selection.
    Mundra PA; Rajapakse JC
    IEEE Trans Nanobioscience; 2010 Mar; 9(1):31-7. PubMed ID: 19884101
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tumor classification based on non-negative matrix factorization using gene expression data.
    Zheng CH; Ng TY; Zhang L; Shiu CK; Wang HQ
    IEEE Trans Nanobioscience; 2011 Jun; 10(2):86-93. PubMed ID: 21742573
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature selection with redundancy-constrained class separability.
    Zhou L; Wang L; Shen C
    IEEE Trans Neural Netw; 2010 May; 21(5):853-8. PubMed ID: 20227975
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Particle swarm optimization for feature selection in classification: a multi-objective approach.
    Xue B; Zhang M; Browne WN
    IEEE Trans Cybern; 2013 Dec; 43(6):1656-71. PubMed ID: 24273143
    [TBL] [Abstract][Full Text] [Related]  

  • 16. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.
    Alshamlan H; Badr G; Alohali Y
    Biomed Res Int; 2015; 2015():604910. PubMed ID: 25961028
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discriminative semi-supervised feature selection via manifold regularization.
    Xu Z; King I; Lyu MR; Jin R
    IEEE Trans Neural Netw; 2010 Jul; 21(7):1033-47. PubMed ID: 20570772
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gene Selection Using Locality Sensitive Laplacian Score.
    Liao B; Jiang Y; Liang W; Zhu W; Cai L; Cao Z
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1146-56. PubMed ID: 26357051
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MILES: multiple-instance learning via embedded instance selection.
    Chen Y; Bi J; Wang JZ
    IEEE Trans Pattern Anal Mach Intell; 2006 Dec; 28(12):1931-47. PubMed ID: 17108368
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A granular computing approach to gene selection.
    Sun L; Xu J
    Biomed Mater Eng; 2014; 24(1):1307-14. PubMed ID: 24212026
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.