Cargando…
Science in the cloud (SIC): A use case in MRI connectomics
Modern technologies are enabling scientists to collect extraordinary amounts of complex and sophisticated data across a huge range of scales like never before. With this onslaught of data, we can allow the focal point to shift from data collection to data analysis. Unfortunately, lack of standardize...
Autores principales: | Kiar, Gregory, Gorgolewski, Krzysztof J., Kleissas, Dean, Roncal, William Gray, Litt, Brian, Wandell, Brian, Poldrack, Russel A., Wiener, Martin, Vogelstein, R. Jacob, Burns, Randal, Vogelstein, Joshua T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467033/ https://www.ncbi.nlm.nih.gov/pubmed/28327935 http://dx.doi.org/10.1093/gigascience/gix013 |
Ejemplares similares
-
An automated images-to-graphs framework for high resolution connectomics
por: Gray Roncal, William R., et al.
Publicado: (2015) -
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
por: Bridgeford, Eric W., et al.
Publicado: (2021) -
Q&A: What is the Open Connectome Project?
por: Vogelstein, Joshua T
Publicado: (2011) -
Impact of concatenating fMRI data on reliability for functional connectomics
por: Cho, Jae Wook, et al.
Publicado: (2020) -
The Heritability of Human Connectomes: a Causal Modeling Analysis
por: Chung, Jaewon, et al.
Publicado: (2023)