HIGHLIGHTS
- who: Philip Fernandes from the DepartmentUniversity of of Pediatric Gastroenterology, Emory Children`s Center, Atlanta, GA, USA have published the article: Identifying metabolic shifts in Crohn`s disease using `omics-driven contextualized computational metabolic network models, in the Journal: Scientific Reports Scientific Reports
- what: Using random forest classification to identify discriminating reactions, the models determined whether a sample was from diseased versus control tissue, achieving 80% accuracy after 100 train-test splits in classifying CD versus control patients. Of note, the model had an average accuracy of 56% in classifying whether transcriptomic data originated from . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.