BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 32546735)

  • 1. Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data.
    Jiang L; Greenwood CMT; Yao W; Li L
    Sci Rep; 2020 Jun; 10(1):9747. PubMed ID: 32546735
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data.
    Shen J; Wang S; Sun H; Huang J; Bai L; Wang X; Dong Y; Tang Z
    BMC Med Res Methodol; 2024 May; 24(1):105. PubMed ID: 38702624
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
    Belhechmi S; Bin R; Rotolo F; Michiels S
    BMC Bioinformatics; 2020 Jul; 21(1):277. PubMed ID: 32615919
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian LASSO, scale space and decision making in association genetics.
    Pasanen L; Holmström L; Sillanpää MJ
    PLoS One; 2015; 10(4):e0120017. PubMed ID: 25856391
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification with correlated features: unreliability of feature ranking and solutions.
    Tolosi L; Lengauer T
    Bioinformatics; 2011 Jul; 27(14):1986-94. PubMed ID: 21576180
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression.
    Algamal ZY; Alhamzawi R; Mohammad Ali HT
    Comput Biol Med; 2018 Jun; 97():145-152. PubMed ID: 29729489
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian penalized cumulative logit model for high-dimensional data with an ordinal response.
    Zhang Y; Archer KJ
    Stat Med; 2021 Mar; 40(6):1453-1481. PubMed ID: 33336826
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Overcoming the inadaptability of sparse group lasso for data with various group structures by stacking.
    He H; Guo X; Yu J; Ai C; Shi S
    Bioinformatics; 2022 Mar; 38(6):1542-1549. PubMed ID: 34908103
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AucPR: an AUC-based approach using penalized regression for disease prediction with high-dimensional omics data.
    Yu W; Park T
    BMC Genomics; 2014; 15 Suppl 10(Suppl 10):S1. PubMed ID: 25559769
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Computational analysis for identification of the extracellular matrix molecules involved in endometrial cancer progression.
    Yadav VK; Lee TY; Hsu JB; Huang HD; Yang WV; Chang TH
    PLoS One; 2020; 15(4):e0231594. PubMed ID: 32315343
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms.
    Maurya NS; Kushwaha S; Vetukuri RR; Mani A
    Genes (Basel); 2023 Sep; 14(10):. PubMed ID: 37895185
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting drug-target interaction network using deep learning model.
    You J; McLeod RD; Hu P
    Comput Biol Chem; 2019 Jun; 80():90-101. PubMed ID: 30939415
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A sparse negative binomial mixture model for clustering RNA-seq count data.
    Li Y; Rahman T; Ma T; Tang L; Tseng GC
    Biostatistics; 2022 Dec; 24(1):68-84. PubMed ID: 34363675
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Probabilistic modeling methods for cell-free DNA methylation based cancer classification.
    Halla-Aho V; Lähdesmäki H
    BMC Bioinformatics; 2022 Apr; 23(1):119. PubMed ID: 35379172
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models.
    Zucknick M; Saadati M; Benner A
    Biom J; 2015 Nov; 57(6):959-81. PubMed ID: 26417963
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.
    Liu C; Wong HS
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):312-321. PubMed ID: 29989970
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A penalized regression approach for DNA copy number study using the sequencing data.
    Lee J; Chen J
    Stat Appl Genet Mol Biol; 2019 May; 18(4):. PubMed ID: 31145697
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.