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 *

162 related articles for article (PubMed ID: 29261781)

  • 1. Accurate and fast feature selection workflow for high-dimensional omics data.
    Perez-Riverol Y; Kuhn M; Vizcaíno JA; Hitz MP; Audain E
    PLoS One; 2017; 12(12):e0189875. PubMed ID: 29261781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset.
    Devaraj S; Paulraj S
    ScientificWorldJournal; 2015; 2015():821798. PubMed ID: 26491718
    [TBL] [Abstract][Full Text] [Related]  

  • 3. In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.
    Audain E; Uszkoreit J; Sachsenberg T; Pfeuffer J; Liang X; Hermjakob H; Sanchez A; Eisenacher M; Reinert K; Tabb DL; Kohlbacher O; Perez-Riverol Y
    J Proteomics; 2017 Jan; 150():170-182. PubMed ID: 27498275
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures.
    Trambaiolli LR; Biazoli CE; Balardin JB; Hoexter MQ; Sato JR
    J Affect Disord; 2017 Nov; 222():49-56. PubMed ID: 28672179
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
    Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
    PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
    [TBL] [Abstract][Full Text] [Related]  

  • 7. New feature selection for gene expression classification based on degree of class overlap in principal dimensions.
    Rakkeitwinai S; Lursinsap C; Aporntewan C; Mutirangura A
    Comput Biol Med; 2015 Sep; 64():292-8. PubMed ID: 25712072
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Zoo: Selecting Transcriptomic and Methylomic Biomarkers by Ensembling Animal-Inspired Swarm Intelligence Feature Selection Algorithms.
    Han Y; Huang L; Zhou F
    Genes (Basel); 2021 Nov; 12(11):. PubMed ID: 34828418
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm.
    Zhang G; Hou J; Wang J; Yan C; Luo J
    Interdiscip Sci; 2020 Sep; 12(3):288-301. PubMed ID: 32441000
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Features Selection and Extraction in Statistical Analysis of Proteomics Datasets.
    Lualdi M; Fasano M
    Methods Mol Biol; 2021; 2361():143-159. PubMed ID: 34236660
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
    Malan NS; Sharma S
    Comput Biol Med; 2019 Apr; 107():118-126. PubMed ID: 30802693
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. An MLP-based feature subset selection for HIV-1 protease cleavage site analysis.
    Kim G; Kim Y; Lim H; Kim H
    Artif Intell Med; 2010; 48(2-3):83-9. PubMed ID: 19945261
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The feature selection bias problem in relation to high-dimensional gene data.
    Krawczuk J; Łukaszuk T
    Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data.
    Labory J; Njomgue-Fotso E; Bottini S
    Comput Struct Biotechnol J; 2024 Dec; 23():1274-1287. PubMed ID: 38560281
    [TBL] [Abstract][Full Text] [Related]  

  • 17. C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.
    Sharma A; Rani R
    Comput Methods Programs Biomed; 2019 Sep; 178():219-235. PubMed ID: 31416551
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature selection for elderly faller classification based on wearable sensors.
    Howcroft J; Kofman J; Lemaire ED
    J Neuroeng Rehabil; 2017 May; 14(1):47. PubMed ID: 28558724
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning in omics: a survey and guideline.
    Zhang Z; Zhao Y; Liao X; Shi W; Li K; Zou Q; Peng S
    Brief Funct Genomics; 2019 Feb; 18(1):41-57. PubMed ID: 30265280
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data.
    Swan AL; Stekel DJ; Hodgman C; Allaway D; Alqahtani MH; Mobasheri A; Bacardit J
    BMC Genomics; 2015; 16 Suppl 1(Suppl 1):S2. PubMed ID: 25923811
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.