GRINCD applies ensemble learning to predict the causal regulation ... for each gene generated by Graph Neural Network as input. Specifically, GRINCD utilizes random walk and nodes' degree ...

Mendelian randomization (MR) is a relatively new form of evidence synthesis and causal inference that is of growing importance in observational epidemiology. The approach can be viewed as an ...

A Mendelian randomization study found that there appears to be a causal relationship between inflammatory bowel disease (IBD) and psoriasis. A study published in Frontiers in Immunology found that ...

by using univariable and multivariable Mendelian randomization (MR) methods. Univariable and multivariable MR was performed to estimate causal relationships among sarcopenia-related traits ...