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Kang, H.M. et al. Variance component model to account for sample structure in genome-wide association studies.
Kang, H. M. et al. Variance component model to account for sample structure in genome-wide association studies.
Both approaches are based on the generic component model.
We have chosen a component model inspired by the CORBA Component Model (CCM), yet simpler and more precise.
Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB et al. Variance component model to account for sample structure in genome-wide association studies.
Esposito, F. et al. Independent component model of the default-mode brain function: combining individual-level and population-level analyses in resting-state fMRI.
Similar(19)
A direct test of the dual-component model.
PROS has a flexible spectral model specification language which allows multi-component model fitting.
Diedrichsen, J., Ridgway, G. R., Friston, K. J. & Wiestler, T. Comparing the similarity and spatial structure of neural representations: a pattern-component model.
The multi-component model introduced by Zank et al.
Compute the maximum likelihood estimator for the one-component model.
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