Independence-Based MAP for Markov Networks Structure Discovery. - Facundo Bromberg; Federico Schlüter; Alejandro Edera (ICTAI, 2011)

Learning Markov Networks with Context-Specific Independences. - Alejandro Edera; Federico Schlüter; Facundo Bromberg (ICTAI, 2013)

Markov random fields factorization with context-specific independences. - Alejandro Edera; Facundo Bromberg; Federico Schlüter (CoRR, 2013)

The IBMAP approach for Markov networks structure learning - Federico Schlüter; Facundo Bromberg; Alejandro Edera (CoRR, 2013)

The Grow-Shrink Strategy for Learning Markov Network Structures Constrained by Context-Specific Independences. - Alejandro Edera; Yanela Strappa; Facundo Bromberg (IBERAMIA, 2014)

The IBMAP approach for Markov network structure learning. - Federico Schlüter; Facundo Bromberg; Alejandro Edera (Ann. Math. Artif. Intell., 2014)

Learning Markov Network Structures Constrained by Context-Specific Independences. - Alejandro Edera; Federico Schlüter; Facundo Bromberg (Int. J. Artif. Intell. Tools, 2014)

Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria. - Alejandro Edera; Ian Small; Diego H. Milone; M. Virginia Sanchez-Puerta (Comput. Biol. Medicine, 2021)

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. - Leandro A Bugnon; Alejandro A. Edera; Santiago Prochetto; Matias Gerard; Jonathan Raad; Emilio Fenoy; Mariano Rubiolo; Uciel Chorostecki; Toni Gabaldón; Federico Ariel; Leandro E. Di Persia; Diego H. Milone; et al. (Briefings Bioinform., 2022)

Anc2vec: embedding gene ontology terms by preserving ancestors relationships. - Alejandro A. Edera; Diego H. Milone; Georgina Stegmayer (Briefings Bioinform., 2022)

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks. - Emilio Fenoy; Alejandro A. Edera; Georgina Stegmayer (Briefings Bioinform., 2022)

Transfer learning: The key to functionally annotate the protein universe. - Leandro A Bugnon; Emilio Fenoy; Alejandro A. Edera; Jonathan Raad; Georgina Stegmayer; Diego H. Milone (Patterns, 2023)

gGN: Representing the Gene Ontology as low-rank Gaussian distributions. - Alejandro A. Edera; Georgina Stegmayer; Diego H. Milone (Comput. Biol. Medicine, 2024)