HIGHLIGHTS
- who: Curtis et_al BMC Genetics and colleagues from the (UNIVERSITY) have published the research work: Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system, in the Journal: (JOURNAL)
- what: The authors propose a new strategy and a useroriented fully automated software system for the deployment of new machine_learning algorithms with the purpose to make them accessible to geneticists. The authors compare the results from Auto-SAM with the results from running each software piece outside of the automated processing system. The authors believe that . . .
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.