Cargando…
Distributional independent component analysis for diverse neuroimaging modalities
Recent advances in neuroimaging technologies have provided opportunities to acquire brain images of different modalities for studying human brain organization from both functional and structural perspectives. Analysis of images derived from various modalities involves some common goals such as dimen...
Autores principales: | Wu, Ben, Pal, Subhadip, Kang, Jian, Guo, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153395/ https://www.ncbi.nlm.nih.gov/pubmed/34694629 http://dx.doi.org/10.1111/biom.13594 |
Ejemplares similares
-
Rejoinder to discussions of “distributional independent component analysis for diverse neuroimaging modalities”
por: Wu, Ben, et al.
Publicado: (2021) -
A sensitivity analysis approach for informative dropout using shared parameter models
por: Su, Li, et al.
Publicado: (2019) -
Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen
por: van Houwelingen, Hans C.
Publicado: (2020) -
Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data
por: Yang, Zhen, et al.
Publicado: (2021) -
A multiview model for relative and absolute microbial abundances
por: Williamson, Brian D., et al.
Publicado: (2021)