José Juan Almagro Armenteros

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Predicting Protein

Top Venues

Comput. Biol. Chem.

Nucleic Acids Res.

Publications

Alfred Ferrer Florensa, José Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects. CoRR (2024)
Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic Acids Res. 50 (W1) (2022)
Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen
NetSolP: predicting protein solubility in Escherichia coli using language models. Bioinform. 38 (4) (2022)
Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen
Deep protein representations enable recombinant protein expression prediction. Comput. Biol. Chem. 95 (2021)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (21) (2017)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (24) (2017)
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. 33 (22) (2017)