BUGNON, LEANDRO A.; FENOY, EMILIO; EDERA, ALEJANDRO A.; RAAD, JONATHAN; STEGMAYER, GEORGINA; MILONE, DIEGO H.

Transfer learning: The key to functionally annotate the protein universe

Patterns; Lugar: Cambridge, MA; Año: 2023 vol. 4

EMILIO FENOY; ALEJANDRO EDERA; GEORGINA STEGMAYER

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks

BRIEFINGS IN BIOINFORMATICS; Año: 2022

LEANDRO BUGNON; ALEJANDRO EDERA; SANTIAGO PROCHETTO; MATIAS GERARD; JONATHAN RAAD ; EMILIO FENOY; MARIANO RUBIOLO; UCIEL CHOROSTECKI; TONI GABALDON; FEDERICO ARIEL; LEANDRO DI PERSIA; MILONE, DIEGO H.; GEORGINA STEGMAYER

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches

BRIEFINGS IN BIOINFORMATICS; Año: 2022

MORRISON, W. IVAN; AGUADO, ADRIANA; SHELDRAKE, TARA A.; PALMATEER, NICHOLAS C.; IFEONU, OLUKEMI O.; TRETINA, KYLE; PARSONS, KEITH; FENOY, EMILIO; CONNELLEY, TIMOTHY; NIELSEN, MORTEN; SILVA, JOANA C.

CD4 T Cell Responses to Theileria parva in Immune Cattle Recognize a Diverse Set of Parasite Antigens Presented on the Surface of Infected Lymphoblasts

JOURNAL OF IMMUNOLOGY; Año: 2021

FENOY, EMILIO; IZARZUGAZA, JOSE M G; JURTZ, VANESSA; BRUNAK, SØREN; NIELSEN, MORTEN

A generic deep convolutional neural network framework for prediction of receptor–ligand interactions—NetPhosPan: application to kinase phosphorylation prediction

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2019 vol. 35 p. 1098 - 1107

MICHAEL RASMUSSEN; EMILIO FENOY; MIKKEL HARNDAHL; ANNE BREGNBALLE KRISTENSEN; IDA KALLEHAUGE NIELSEN; MORTEN NIELSEN; SØREN BUUS

Pan-Specific Prediction of Peptide?MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity

JOURNAL OF IMMUNOLOGY; Lugar: Bethesda; Año: 2016