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 *

156 related articles for article (PubMed ID: 37346505)

  • 21. A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data.
    Aziz R; Verma CK; Srivastava N
    Genom Data; 2016 Jun; 8():4-15. PubMed ID: 27081632
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design.
    Basha J; Bacanin N; Vukobrat N; Zivkovic M; Venkatachalam K; Hubálovský S; Trojovský P
    Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34640973
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hybrid feature selection based on SLI and genetic algorithm for microarray datasets.
    Abasabadi S; Nematzadeh H; Motameni H; Akbari E
    J Supercomput; 2022; 78(18):19725-19753. PubMed ID: 35789817
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Harris hawks optimization based on global cross-variation and tent mapping.
    Chen L; Song N; Ma Y
    J Supercomput; 2023; 79(5):5576-5614. PubMed ID: 36310649
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Improving hepatocellular carcinoma diagnosis using an ensemble classification approach based on Harris Hawks Optimization.
    Lin L; Liu Y; Gao M; Rezaeipanah A
    Heliyon; 2024 Jan; 10(1):e23497. PubMed ID: 38169861
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning.
    Ye Z; Xu Y; He Q; Wang M; Bai W; Xiao H
    Comput Intell Neurosci; 2022; 2022():1825341. PubMed ID: 36072739
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data.
    Ahmed S; Kabir M; Ali Z; Arif M; Ali F; Yu DJ
    Comb Chem High Throughput Screen; 2018; 21(9):631-645. PubMed ID: 30569852
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A graph-based gene selection method for medical diagnosis problems using a many-objective PSO algorithm.
    Azadifar S; Ahmadi A
    BMC Med Inform Decis Mak; 2021 Nov; 21(1):333. PubMed ID: 34838034
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm.
    Bai X; Zheng Y; Lu Y; Shi Y
    PLoS One; 2024; 19(10):e0311602. PubMed ID: 39378228
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An Efficient Hybrid Feature Selection Method Using the Artificial Immune Algorithm for High-Dimensional Data.
    Zhu Y; Li T; Li W
    Comput Intell Neurosci; 2022; 2022():1452301. PubMed ID: 36275946
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A novel hybrid filter/wrapper method for feature selection in archaeological ceramics classification by laser-induced breakdown spectroscopy.
    Ruan F; Hou L; Zhang T; Li H
    Analyst; 2021 Feb; 146(3):1023-1031. PubMed ID: 33300506
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. Improving accuracy for cancer classification with a new algorithm for genes selection.
    Zhang H; Wang H; Dai Z; Chen MS; Yuan Z
    BMC Bioinformatics; 2012 Nov; 13():298. PubMed ID: 23148517
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of potential biomarkers on microarray data using distributed gene selection approach.
    Shukla AK; Tripathi D
    Math Biosci; 2019 Sep; 315():108230. PubMed ID: 31326384
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification.
    Nakariyakul S
    PLoS One; 2019; 14(2):e0212333. PubMed ID: 30768654
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases.
    Xie J; Lei J; Xie W; Shi Y; Liu X
    Health Inf Sci Syst; 2013; 1():10. PubMed ID: 26042184
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
    Tong DL; Schierz AC
    Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.