Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

Researchers tested millions of different DNA sequences with a machine learning model, finding rare, "synthetic extreme" sequences with specifically designed gene activation functions.

Researchers in France report that they have developed a machine learning toolbox that can read and analyze protein sequences. Their study (“ Learning protein constitutive motifs from sequence ...

Real-world sequential data are often generated based on complicated and latent mechanisms, which can be formulated as event sequences occurring in the continuous time domain. In addition, continuous ...

This is the code base for the dissertation: 'DeepDeCode: Deep Learning for Identifying Important Motifs in DNA Sequences'. The code has been written in Python and the deep learning framework used is ...

Abstract: Real-world sequential data are often generated based on complicated and latent mechanisms, which can be formulated as event sequences occurring in the continuous time domain. In addition, ...