Learning sparse representations for predicting drug side effects, disease genes and customer preferences

Diego Galeano Galeano

Research output: Thesis › Doctoral Thesis

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2019

Learning interpretable disease self-representations for drug repositioning
Galeano Galeano, D., Frasca, F., Gonzalez, G., Lapanogov, I., Veselkov, K., Paccanaro, A. & Bronstein, M. M., 2019, (Accepted/In press) Conference on Neural Information Processing Systems (NeurIPS) 2019: Graph representation Learning Workshop .
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
2018

A Recommender System Approach for Predicting Drug Side Effects
Galeano Galeano, D. & Paccanaro, A., 2018, IJCNN 2018: International Joint Conference on Neural Networks. IEEE Xplore, p. 1-7 7 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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620 Downloads (Pure)
2017

Drug targets prediction using chemical similarity
Galeano Galeano, D. & Paccanaro, A., 26 Jan 2017, XLII Conferencia Latinoamericana de Informatica (CLEI). IEEE Xplore, p. 1-7 7 p. (2016 XLII Latin American Computing Conference (CLEI)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Research output