In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins.

M. Anteghini*, V.A.P. Martins dos Santos, E. Saccenti*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Fingerprint

Dive into the research topics of 'In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins.'. Together they form a unique fingerprint.

Physics & Astronomy

Medicine & Life Sciences

Engineering & Materials Science

Chemical Compounds