Stegmayer, G.'s publications with sinc(i)

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Publications in 2023
Transfer learning: The key to functionally annotate the protein universe   sinc_BFERSM23.doi sinc_BFERSM23.pdf
L. A. Bugnon, E. Fenoy, A. Edera, J. Raad, G. Stegmayer, D. H. Milone
Patterns - 2023
 
Publications in 2022
Anc2vec: embedding gene ontology terms by preserving ancestors relationships   sinc_EMS22.doi sinc_EMS22.pdf
A. Edera, D. H. Milone, G. Stegmayer
Briefings in Bioinformatics - feb 2022
exp2GO: improving prediction of functions in the Gene Ontology with expression data   sinc_DLAMS22.doi sinc_DLAMS22.pdf
L. Di Persia, T. López, A. A. Arce, D. H. Milone, G. Stegmayer
IEEE/ACM Transactions on Computational Biology and Bioinformatics, page 1--10 - 2022
Hierarchical deep learning for predicting GO annotations by integrating protein knowledge   sinc_MSMSM22.doi sinc_MSMSM22.pdf
G. Merino, R. Saidi, D. H. Milone, G. Stegmayer, M. Martín
Bioinformatics - aug 2022
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches   sinc_BEPGRFRCGAMS22.doi sinc_BEPGRFRCGAMS22.pdf
L. A. Bugnon, A. Edera, S. Prochetto, M. Gerard, J. Raad, E. Fenoy, M. Rubiolo, U. Chorostecki, G. Gabaldon, F. Ariel, L. Di Persia, D. H. Milone, G. Stegmayer
Briefing in Bioinformatics - 2022
Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks   sinc_FES22.doi sinc_FES22.pdf
E. Fenoy, A. Edera, G. Stegmayer
Briefings in Bioinformatics, Volume 23, Number 4 - 2022
 
Publications in 2021
Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19   sinc_BRMYAMS21.doi sinc_BRMYAMS21.pdf
L. A. Bugnon, J. Raad, G. Merino, C. Yones, F. Ariel, D. H. Milone, G. Stegmayer
Machine Learning with Applications, Volume 6 - 2021
High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks   sinc_YRBMS21.doi sinc_YRBMS21.pdf
C. Yones, J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Computers in Biology and Medicine, Volume 134 - 2021
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs   sinc_RBMS21.doi sinc_RBMS21.pdf
J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Bioinformatics - 2021
 
Publications in 2020
Complexity measures of the mature miRNA for improving pre-miRNAs prediction   sinc_RSM20.doi sinc_RSM20.pdf
J. Raad, G. Stegmayer, D. H. Milone
Bioinformatics - 2020
DL4papers: a deep learning approach for the automatic interpretation of scientific articles   sinc_BYRGRMPDMS20.doi sinc_BYRGRMPDMS20.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
Oxford Bioinformatics - 2020
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning   sinc_BYMS20.doi sinc_BYMS20.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Oxford Briefings in Bioinformatics - 2020
HextractoR: an R package for automatic extraction of hairpins from genome-wide data   sinc_YMKSM20.doi sinc_YMKSM20.pdf
C. Yones, N. Macchiaroli, L. Kamenetzky, G. Stegmayer, D. H. Milone
bioRxiv - 2020
Novel SARS-CoV-2 encoded small RNAs in the passage to humans   sinc_MRBYKCAMS20.doi sinc_MRBYKCAMS20.pdf
G. Merino, J. Raad, L. A. Bugnon, C. Yones, L. Kamenetzky, J. Claus, F. Ariel, D. H. Milone, G. Stegmayer
Bioinformatics - 11 2020
 
Publications in 2019
Alternative usage of miRNA-biogenesis co-factors in plants at low temperatures   sinc_RLYASMM19.doi sinc_RLYASMM19.pdf
Delfina A. Ré, Patricia L.M. Lang, C. Yones, Agustín Arce, G. Stegmayer, D. H. Milone, Pablo A. Manavella
Development - 2019
Annotation pipeline for inferring gene functions integrating GO annotations and expression data   sinc_DMS19.pdf
L. Di Persia, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Deep learning for reading and interpreting biomedical papers   sinc_BYRGRMPDMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19.doi sinc_BYMS19.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
IEEE Transactions on Neural Networks and Learning Systems - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19a.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Argentine Symposium on Data Science and Big Data, AGRANDA 2019, 48º JAIIO - 2019
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction   sinc_PWLG19.doi sinc_BYRMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, D. H. Milone, G. Stegmayer
Data in Brief (in press) - 2019

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