HIGHLIGHTS
- who: Artem S. Kasianov et al. from the Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia have published the research work: Interspecific comparison of gene expression profiles using machine learning, in the Journal: (JOURNAL) of January/10,/2023
- what: The authors report ISEEML (Interspecific Similarity of Expression Evaluated using Machine Learning)-a novel machine learningbased algorithm for interspecific gene classification. The authors propose novel metrics for expression pattern similarity-expression score (ES)-that is suitable for species with differing morphologies. As a proof of concept the authors compare detailed transcriptome . . .
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.