Cargando…
Integrative Bayesian tensor regression for imaging genetics applications
Identifying biomarkers for Alzheimer's disease with a goal of early detection is a fundamental problem in clinical research. Both medical imaging and genetics have contributed informative biomarkers in literature. To further improve the performance, recently, there is an increasing interest in...
Autores principales: | Liu, Yajie, Chakraborty, Nilanjana, Qin, Zhaohui S., Kundu, Suprateek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481528/ https://www.ncbi.nlm.nih.gov/pubmed/37680967 http://dx.doi.org/10.3389/fnins.2023.1212218 |
Ejemplares similares
-
Bayesian longitudinal tensor response regression for modeling neuroplasticity
por: Kundu, Suprateek, et al.
Publicado: (2023) -
Bayesian variable selection with graphical structure learning: Applications in integrative genomics
por: Kundu, Suprateek, et al.
Publicado: (2018) -
Bayesian Rician Regression for Neuroimaging
por: Wegmann, Bertil, et al.
Publicado: (2017) -
High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors
por: Guhaniyogi, Rajarshi
Publicado: (2020) -
Application of diffusion tensor imaging technology in glaucoma diagnosis
por: Wang, Jiaqi, et al.
Publicado: (2023)