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 *

441 related articles for article (PubMed ID: 25961028)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. A novel approach for dimension reduction of microarray.
    Aziz R; Verma CK; Srivastava N
    Comput Biol Chem; 2017 Dec; 71():161-169. PubMed ID: 29096382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification.
    Elyasigomari V; Lee DA; Screen HR; Shaheed MH
    J Biomed Inform; 2017 Mar; 67():11-20. PubMed ID: 28163197
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Co-ABC: Correlation artificial bee colony algorithm for biomarker gene discovery using gene expression profile.
    Alshamlan HM
    Saudi J Biol Sci; 2018 Jul; 25(5):895-903. PubMed ID: 30108438
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y; Deng Q; Liang W; Zou X
    Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.
    Xi M; Sun J; Liu L; Fan F; Wu X
    Comput Math Methods Med; 2016; 2016():3572705. PubMed ID: 27642363
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Gene Selection Method Based on Sparse Representation and Max-Relevance and Min-Redundancy.
    Chen M; He X; Duan S; Deng Y
    Comb Chem High Throughput Screen; 2017; 20(2):158-163. PubMed ID: 28128052
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.
    Ganesh Kumar P; Kavitha MS; Ahn BC
    PLoS One; 2016; 11(12):e0167504. PubMed ID: 27936033
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Cancer Gene Selection Algorithm Based on the K-S Test and CFS.
    Su Q; Wang Y; Jiang X; Chen F; Lu WC
    Biomed Res Int; 2017; 2017():1645619. PubMed ID: 28567418
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data.
    Pashaei E; Pashaei E
    Anal Biochem; 2021 Aug; 627():114242. PubMed ID: 33974890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms.
    Lin KC; Hsieh YH
    J Med Syst; 2015 Oct; 39(10):306. PubMed ID: 26289628
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm.
    Qin X; Zhang S; Yin D; Chen D; Dong X
    Math Biosci Eng; 2022 Sep; 19(12):13747-13781. PubMed ID: 36654066
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification.
    Abdi MJ; Hosseini SM; Rezghi M
    Comput Math Methods Med; 2012; 2012():320698. PubMed ID: 22924059
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony.
    Gao L; Ye M; Wu C
    Molecules; 2017 Nov; 22(12):. PubMed ID: 29186052
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization.
    Nagra AA; Khan AH; Abubakar M; Faheem M; Rasool A; Masood K; Hussain M
    Sci Rep; 2024 Aug; 14(1):19613. PubMed ID: 39179674
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Two-Stage Hybrid Gene Selection Using Mutual Information and Genetic Algorithm for Cancer Data Classification.
    Jansi Rani M; Devaraj D
    J Med Syst; 2019 Jun; 43(8):235. PubMed ID: 31209677
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel gene selection algorithm for cancer classification using microarray datasets.
    Alanni R; Hou J; Azzawi H; Xiang Y
    BMC Med Genomics; 2019 Jan; 12(1):10. PubMed ID: 30646919
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.