You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Genetic variations affect the susceptibility of complex diseases including brain disorders. The availability of both genetic patient's information and brain images provides the researcher with more opportunities to propose models and pipelines that allows integrating imaging and genetic information. However, researchers have to deal with many issues in this context:
Analyzing two heterogeneous datasets
Existence of co-linearity within each dataset
A need for a huge number of samples
Suggested solutions:
Using the following graph as a construct, in a Structural Equation Model settings.
The text was updated successfully, but these errors were encountered:
Submitted by Samar S. M. Elsheikh*
Genetic variations affect the susceptibility of complex diseases including brain disorders. The availability of both genetic patient's information and brain images provides the researcher with more opportunities to propose models and pipelines that allows integrating imaging and genetic information. However, researchers have to deal with many issues in this context:
Suggested solutions:
Using the following graph as a construct, in a Structural Equation Model settings.
The text was updated successfully, but these errors were encountered: