José Juan Almagro Armenteros

According to our database, José Juan Almagro Armenteros authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects.

Alfred Ferrer Florensa, José Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen

CoRR, 2024

2022

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models.

Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther

Nucleic Acids Res., 2022

NetSolP: predicting protein solubility in Escherichia coli using language models.

Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen

Bioinform., 2022

2021

Deep protein representations enable recombinant protein expression prediction.

Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen

Comput. Biol. Chem., 2021

2017

An introduction to deep learning on biological sequence data: examples and solutions.

Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby

Bioinform., 2017

DeepLoc: prediction of protein subcellular localization using deep learning.

José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther

Bioinform., 2017