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 *

167 related articles for article (PubMed ID: 34585639)

  • 1. Boundaries tuned support vector machine (BT-SVM) classifier for cancer prediction from gene selection.
    Abinash MJ; Vasudevan V
    Comput Methods Biomech Biomed Engin; 2022 May; 25(7):794-807. PubMed ID: 34585639
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Incorporating EBO-HSIC with SVM for Gene Selection Associated with Cervical Cancer Classification.
    Geeitha S; Thangamani M
    J Med Syst; 2018 Oct; 42(11):225. PubMed ID: 30293153
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.
    Shi P; Ray S; Zhu Q; Kon MA
    BMC Bioinformatics; 2011 Sep; 12():375. PubMed ID: 21939564
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
    Murugesan S; Bhuvaneswaran RS; Khanna Nehemiah H; Keerthana Sankari S; Nancy Jane Y
    Comput Math Methods Med; 2021; 2021():6662420. PubMed ID: 34055041
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of Brain Metastases from Lung Cancer Using a Modified Electromagnetism like Mechanism Algorithm.
    Chen KH; Wang KJ; Adrian AM; Wang KM; Teng NC
    J Med Syst; 2016 Jan; 40(1):35. PubMed ID: 26573656
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. The construction of support vector machine classifier using the firefly algorithm.
    Chao CF; Horng MH
    Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine.
    Moteghaed NY; Maghooli K; Garshasbi M
    J Med Signals Sens; 2018; 8(1):1-11. PubMed ID: 29535919
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
    Han X
    Genome Inform; 2008; 21():200-11. PubMed ID: 19425159
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection.
    Emam MM; Houssein EH; Samee NA; Alkhalifa AK; Hosney ME
    Comput Biol Med; 2024 Sep; 180():108984. PubMed ID: 39128177
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.
    Jebamony J; Jacob D
    Curr Med Imaging; 2020; 16(6):703-710. PubMed ID: 32723242
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Support vector machine based diagnostic system for breast cancer using swarm intelligence.
    Chen HL; Yang B; Wang G; Wang SJ; Liu J; Liu DY
    J Med Syst; 2012 Aug; 36(4):2505-19. PubMed ID: 21537848
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Vicinal support vector classifier using supervised kernel-based clustering.
    Yang X; Cao A; Song Q; Schaefer G; Su Y
    Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparative study on feature selection for a risk prediction model for colorectal cancer.
    Cueto-López N; García-Ordás MT; Dávila-Batista V; Moreno V; Aragonés N; Alaiz-Rodríguez R
    Comput Methods Programs Biomed; 2019 Aug; 177():219-229. PubMed ID: 31319951
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hubness weighted SVM ensemble for prediction of breast cancer subtypes.
    Raja Sree S; Kunthavai A
    Technol Health Care; 2022; 30(3):565-578. PubMed ID: 34397436
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.