BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 34821856)

  • 1. Feature Selection Using Correlation Analysis and Principal Component Analysis for Accurate Breast Cancer Diagnosis.
    Ibrahim S; Nazir S; Velastin SA
    J Imaging; 2021 Oct; 7(11):. PubMed ID: 34821856
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Breast Tumor Classification Using an Ensemble Machine Learning Method.
    Assiri AS; Nazir S; Velastin SA
    J Imaging; 2020 May; 6(6):. PubMed ID: 34460585
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset.
    Velusamy D; Ramasamy K
    Comput Methods Programs Biomed; 2021 Jan; 198():105770. PubMed ID: 33027698
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis.
    Zheng D; Tang P; Lu D; Han L; Saberi S
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14519-14534. PubMed ID: 37567985
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic breast cancer diagnosis based on hybrid dimensionality reduction technique and ensemble classification.
    Li X; Chen X; Rezaeipanah A
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):7609-7627. PubMed ID: 36995408
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reviewing ensemble classification methods in breast cancer.
    Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
    Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
    [TBL] [Abstract][Full Text] [Related]  

  • 7. New bandwidth selection criterion for Kernel PCA: approach to dimensionality reduction and classification problems.
    Thomas M; De Brabanter K; De Moor B
    BMC Bioinformatics; 2014 May; 15():137. PubMed ID: 24886083
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques.
    Reshan MSA; Amin S; Zeb MA; Sulaiman A; Alshahrani H; Azar AT; Shaikh A
    Life (Basel); 2023 Oct; 13(10):. PubMed ID: 37895474
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.
    Li Y; Luo Y
    Quant Biol; 2020 Dec; 8(4):347-358. PubMed ID: 34336363
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modified Bat Algorithm for Feature Selection with the Wisconsin Diagnosis Breast Cancer (WDBC) Dataset.
    Jeyasingh S; Veluchamy M
    Asian Pac J Cancer Prev; 2017 May; 18(5):1257-1264. PubMed ID: 28610411
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of decision tree-based ensemble learning in the classification of breast cancer.
    Ghiasi MM; Zendehboudi S
    Comput Biol Med; 2021 Jan; 128():104089. PubMed ID: 33338982
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets.
    Aalaei S; Shahraki H; Rowhanimanesh A; Eslami S
    Iran J Basic Med Sci; 2016 May; 19(5):476-82. PubMed ID: 27403253
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine.
    Lahoura V; Singh H; Aggarwal A; Sharma B; Mohammed MA; Damaševičius R; Kadry S; Cengiz K
    Diagnostics (Basel); 2021 Feb; 11(2):. PubMed ID: 33557132
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.
    Elgin Christo VR; Khanna Nehemiah H; Minu B; Kannan A
    Comput Math Methods Med; 2019; 2019():7398307. PubMed ID: 31662787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers.
    Sarkar JP; Saha I; Sarkar A; Maulik U
    Comput Biol Med; 2021 Apr; 131():104244. PubMed ID: 33550016
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method-a Comparative Study.
    Verma AK; Pal S; Kumar S
    Appl Biochem Biotechnol; 2020 Feb; 190(2):341-359. PubMed ID: 31350666
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression.
    Kadam VJ; Jadhav SM; Vijayakumar K
    J Med Syst; 2019 Jul; 43(8):263. PubMed ID: 31270634
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.