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 *

156 related articles for article (PubMed ID: 30219850)

  • 1. BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology.
    Yi N; Tang Z; Zhang X; Guo B
    Bioinformatics; 2019 Apr; 35(8):1419-1421. PubMed ID: 30219850
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information.
    Tang Z; Lei S; Zhang X; Yi Z; Guo B; Chen JY; Shen Y; Yi N
    BMC Bioinformatics; 2019 Feb; 20(1):94. PubMed ID: 30813883
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Spike-and-Slab Lasso Generalized Linear Models for Prediction and Associated Genes Detection.
    Tang Z; Shen Y; Zhang X; Yi N
    Genetics; 2017 Jan; 205(1):77-88. PubMed ID: 27799277
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information.
    Tang Z; Shen Y; Li Y; Zhang X; Wen J; Qian C; Zhuang W; Shi X; Yi N
    Bioinformatics; 2018 Mar; 34(6):901-910. PubMed ID: 29077795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The spike-and-slab lasso Cox model for survival prediction and associated genes detection.
    Tang Z; Shen Y; Zhang X; Yi N
    Bioinformatics; 2017 Sep; 33(18):2799-2807. PubMed ID: 28472220
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pathway-structured predictive modeling for multi-level drug response in multiple myeloma.
    Zhang X; Li B; Han H; Song S; Xu H; Yi Z; Hong Y; Zhuang W; Yi N
    Bioinformatics; 2018 Nov; 34(21):3609-3615. PubMed ID: 29850860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hierarchical shrinkage priors and model fitting for high-dimensional generalized linear models.
    Yi N; Ma S
    Stat Appl Genet Mol Biol; 2012 Nov; 11(6):. PubMed ID: 23192052
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Expanded utility of the R package, qgg, with applications within genomic medicine.
    Rohde PD; Fourie Sørensen I; Sørensen P
    Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37882742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects.
    Yi N; Liu N; Zhi D; Li J
    PLoS Genet; 2011 Dec; 7(12):e1002382. PubMed ID: 22144906
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An R package VIGoR for joint estimation of multiple linear learners with variational Bayesian inference.
    Onogi A; Arakawa A
    Bioinformatics; 2022 Jun; 38(12):3306-3309. PubMed ID: 35575313
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ScreenBEAM: a novel meta-analysis algorithm for functional genomics screens via Bayesian hierarchical modeling.
    Yu J; Silva J; Califano A
    Bioinformatics; 2016 Jan; 32(2):260-7. PubMed ID: 26415723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiple comparisons in genetic association studies: a hierarchical modeling approach.
    Yi N; Xu S; Lou XY; Mallick H
    Stat Appl Genet Mol Biol; 2014 Feb; 13(1):35-48. PubMed ID: 24259248
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.
    Komodromos M; Aboagye EO; Evangelou M; Filippi S; Ray K
    Bioinformatics; 2022 Aug; 38(16):3918-3926. PubMed ID: 35751586
    [TBL] [Abstract][Full Text] [Related]  

  • 14. AnaCoDa: analyzing codon data with Bayesian mixture models.
    Landerer C; Cope A; Zaretzki R; Gilchrist MA
    Bioinformatics; 2018 Jul; 34(14):2496-2498. PubMed ID: 29522124
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ThetaMater: Bayesian estimation of population size parameter θ from genomic data.
    Adams RH; Schield DR; Card DC; Corbin A; Castoe TA
    Bioinformatics; 2018 Mar; 34(6):1072-1073. PubMed ID: 29194472
    [TBL] [Abstract][Full Text] [Related]  

  • 16. InstaPrism: an R package for fast implementation of BayesPrism.
    Hu M; Chikina M
    Bioinformatics; 2024 Jul; 40(7):. PubMed ID: 38970377
    [TBL] [Abstract][Full Text] [Related]  

  • 17. sparsesurv: a Python package for fitting sparse survival models via knowledge distillation.
    Wissel D; Janakarajan N; Schulte J; Rowson D; Yuan X; Boeva V
    Bioinformatics; 2024 Sep; 40(9):. PubMed ID: 39177085
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Incorporating biological networks into high-dimensional Bayesian survival analysis using an ICM/M algorithm.
    Pungpapong V
    J Bioinform Comput Biol; 2021 Oct; 19(5):2150027. PubMed ID: 34693885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes.
    Li B; Sun Z; He Q; Zhu Y; Qin ZS
    Bioinformatics; 2016 Mar; 32(5):682-9. PubMed ID: 26519502
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.