BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 38281768)

  • 1. Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priors.
    Zhang Q; Chang C; Shen L; Long Q
    Biometrics; 2024 Jan; 80(1):. PubMed ID: 38281768
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data.
    Min EJ; Chang C; Long Q
    Proc Int Conf Data Sci Adv Anal; 2018 Oct; 2018():109-119. PubMed ID: 31106307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Factor analysis for gene regulatory networks and transcription factor activity profiles.
    Pournara I; Wernisch L
    BMC Bioinformatics; 2007 Feb; 8():61. PubMed ID: 17319944
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust knowledge-guided biclustering for multi-omics data.
    Zhang Q; Chang C; Long Q
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38058188
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian generalized biclustering analysis via adaptive structured shrinkage.
    Li Z; Chang C; Kundu S; Long Q
    Biostatistics; 2020 Jul; 21(3):610-624. PubMed ID: 30596887
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data.
    Sun W; Chang C; Long Q
    Proc IEEE Int Conf Big Data; 2021 Dec; 2021():4472-4479. PubMed ID: 35187547
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data.
    Li W; Chang C; Kundu S; Long Q
    Biometrics; 2024 Jan; 80(1):. PubMed ID: 38483282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Applications of Bayesian shrinkage prior models in clinical research with categorical responses.
    Bhattacharyya A; Pal S; Mitra R; Rai S
    BMC Med Res Methodol; 2022 Apr; 22(1):126. PubMed ID: 35484507
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.
    Xiao S; Lin H; Wang C; Wang S; Rajapakse JC
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4591-4600. PubMed ID: 37307177
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Highly scalable maximum likelihood and conjugate Bayesian inference for ERGMs on graph sets with equivalent vertices.
    Yin F; Butts CT
    PLoS One; 2022; 17(8):e0273039. PubMed ID: 36018834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction models for clustered data with informative priors for the random effects: a simulation study.
    Ni H; Groenwold RHH; Nielen M; Klugkist I
    BMC Med Res Methodol; 2018 Aug; 18(1):83. PubMed ID: 30081875
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Incorporating biological information in sparse principal component analysis with application to genomic data.
    Li Z; Safo SE; Long Q
    BMC Bioinformatics; 2017 Jul; 18(1):332. PubMed ID: 28697740
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Method for Constructing Informative Priors for Bayesian Modeling of Occupational Hygiene Data.
    Quick H; Huynh T; Ramachandran G
    Ann Work Expo Health; 2017 Jan; 61(1):67-75. PubMed ID: 28395307
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling correlated marker effects in genome-wide prediction via Gaussian concentration graph models.
    Martínez CA; Khare K; Rahman S; Elzo MA
    J Theor Biol; 2018 Jan; 437():67-78. PubMed ID: 29055677
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A multimodal graph neural network framework for cancer molecular subtype classification.
    Li B; Nabavi S
    BMC Bioinformatics; 2024 Jan; 25(1):27. PubMed ID: 38225583
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge.
    Higgins IA; Kundu S; Guo Y
    Neuroimage; 2018 Nov; 181():263-278. PubMed ID: 30017786
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures.
    Liang X
    Educ Psychol Meas; 2020 Dec; 80(6):1025-1058. PubMed ID: 33116326
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Knowledge-Guided Biclustering via Sparse Variational EM Algorithm.
    Chang C; Oh J; Min EJ; Long Q
    10th IEEE Int Conf Big Knowl (2019); 2019 Nov; 2019():25-32. PubMed ID: 34290493
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology.
    Hill SM; Neve RM; Bayani N; Kuo WL; Ziyad S; Spellman PT; Gray JW; Mukherjee S
    BMC Bioinformatics; 2012 May; 13():94. PubMed ID: 22578440
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
    Zhao X; Cheung LW
    BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.