BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 37102071)

  • 1. Feature-weighted elastic net: using "features of features" for better prediction.
    Tay JK; Aghaeepour N; Hastie T; Tibshirani R
    Stat Sin; 2023 Jan; 33(1):259-279. PubMed ID: 37102071
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions.
    Ogutu JO; Schulz-Streeck T; Piepho HP
    BMC Proc; 2012 May; 6 Suppl 2(Suppl 2):S10. PubMed ID: 22640436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data.
    Becker N; Toedt G; Lichter P; Benner A
    BMC Bioinformatics; 2011 May; 12():138. PubMed ID: 21554689
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Early prediction of preeclampsia via machine learning.
    Marić I; Tsur A; Aghaeepour N; Montanari A; Stevenson DK; Shaw GM; Winn VD
    Am J Obstet Gynecol MFM; 2020 May; 2(2):100100. PubMed ID: 33345966
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
    Cao P; Liu X; Liu H; Yang J; Zhao D; Huang M; Zaiane O
    Comput Methods Programs Biomed; 2018 Aug; 162():19-45. PubMed ID: 29903486
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
    Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
    Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on fMRI Dataset.
    Li Y; Sun C; Li P; Zhao Y; Mensah GK; Xu Y; Guo H; Chen J
    Front Neurosci; 2020; 14():60. PubMed ID: 32116508
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Logistic LASSO and Elastic Net to Characterize Vitamin D Deficiency in a Hypertensive Obese Population.
    Garcia-Carretero R; Vigil-Medina L; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
    Metab Syndr Relat Disord; 2020 Mar; 18(2):79-85. PubMed ID: 31928513
    [No Abstract]   [Full Text] [Related]  

  • 9. Stabilizing l1-norm prediction models by supervised feature grouping.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2016 Feb; 59():149-68. PubMed ID: 26689771
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Efficient multi-task learning with adaptive temporal structure for progression prediction.
    Zhou M; Zhang Y; Liu T; Yang Y; Yang P
    Neural Comput Appl; 2023 May; ():1-16. PubMed ID: 37362567
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
    Garcia-Carretero R; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
    Med Biol Eng Comput; 2019 Sep; 57(9):2011-2026. PubMed ID: 31346948
    [TBL] [Abstract][Full Text] [Related]  

  • 12. HDSI: High dimensional selection with interactions algorithm on feature selection and testing.
    Jain R; Xu W
    PLoS One; 2021; 16(2):e0246159. PubMed ID: 33592034
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adaptive group-regularized logistic elastic net regression.
    Münch MM; Peeters CFW; Van Der Vaart AW; Van De Wiel MA
    Biostatistics; 2021 Oct; 22(4):723-737. PubMed ID: 31886488
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ensemble Linear Subspace Analysis of High-Dimensional Data.
    Ahmed SE; Amiri S; Doksum K
    Entropy (Basel); 2021 Mar; 23(3):. PubMed ID: 33803346
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning.
    Lin S; Chen W; Chen G; Zhou S; Wei DQ; Xiong Y
    J Cheminform; 2022 Nov; 14(1):81. PubMed ID: 36380384
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.
    Halgamuge MN
    Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32604814
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Algorithm for Feature Selection Using Penalized Regression with Applications to Single-Cell RNA Sequencing Data.
    Sen Puliparambil B; Tomal JH; Yan Y
    Biology (Basel); 2022 Oct; 11(10):. PubMed ID: 36290397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TIMSS 2011 Student and Teacher Predictors for Mathematics Achievement Explored and Identified via Elastic Net.
    Yoo JE
    Front Psychol; 2018; 9():317. PubMed ID: 29599736
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging.
    Lei L; Du LX; He YL; Yuan JP; Wang P; Ye BL; Wang C; Hou Z
    Front Oncol; 2023; 13():1123493. PubMed ID: 37091168
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An elastic-net penalized expectile regression with applications.
    Xu QF; Ding XH; Jiang CX; Yu KM; Shi L
    J Appl Stat; 2021; 48(12):2205-2230. PubMed ID: 35706613
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.