Marc and Lies have published in Frontiers in Artificial Intelligence

Marc Joired and Liesbet Geris have published the paper ‘Cracking the genetic code with neural networks’ in Frontiers in Artificial Intelligence. It is a didactical/pedagogical paper targeting the biomedical community about the trade-off between ‘understandability/complexity’ of a deep learning algorithm and data efficiency (amount of data required to reach a given loss or a given accuracy). The data are human transcriptomic/proteomic data pairs.

Read the paper here.