Perera-Lluna A - Search Results

1

Null diffusion-based enrichment for metabolomics data.

Picart-Armada S, Fernández-Albert F, Vinaixa M, Rodríguez MA, Aivio S, Stracker TH, Yanes O, Perera-Lluna A. Picart-Armada S, et al. PLoS One. 2017 Dec 6;12(12):e0189012. doi: 10.1371/journal.pone.0189012. eCollection 2017. PLoS One. 2017. PMID: 29211807 Free PMC article.

2

Peak aggregation as an innovative strategy for improving the predictive power of LC-MS metabolomic profiles.

Fernández-Albert F, Llorach R, Andres-Lacueva C, Perera-Lluna A. Fernández-Albert F, et al. Anal Chem. 2014 Mar 4;86(5):2320-5. doi: 10.1021/ac403702p. Epub 2014 Feb 14. Anal Chem. 2014. PMID: 24471770

3

eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics.

Domingo-Almenara X, Brezmes J, Vinaixa M, Samino S, Ramirez N, Ramon-Krauel M, Lerin C, Díaz M, Ibáñez L, Correig X, Perera-Lluna A, Yanes O. Domingo-Almenara X, et al. Anal Chem. 2016 Oct 4;88(19):9821-9829. doi: 10.1021/acs.analchem.6b02927. Epub 2016 Sep 14. Anal Chem. 2016. PMID: 27584001

4

diffuStats: an R package to compute diffusion-based scores on biological networks.

Picart-Armada S, Thompson WK, Buil A, Perera-Lluna A. Picart-Armada S, et al. Bioinformatics. 2018 Feb 1;34(3):533-534. doi: 10.1093/bioinformatics/btx632. Bioinformatics. 2018. PMID: 29029016 Free PMC article.

5

Non-targeted metabolomics reveals alterations in liver and plasma of gilt-head bream exposed to oxybenzone.

Ziarrusta H, Mijangos L, Picart-Armada S, Irazola M, Perera-Lluna A, Usobiaga A, Prieto A, Etxebarria N, Olivares M, Zuloaga O. Ziarrusta H, et al. Chemosphere. 2018 Nov;211:624-631. doi: 10.1016/j.chemosphere.2018.08.013. Epub 2018 Aug 4. Chemosphere. 2018. PMID: 30098557

6

FELLA: an R package to enrich metabolomics data.

Picart-Armada S, Fernández-Albert F, Vinaixa M, Yanes O, Perera-Lluna A. Picart-Armada S, et al. BMC Bioinformatics. 2018 Dec 22;19(1):538. doi: 10.1186/s12859-018-2487-5. BMC Bioinformatics. 2018. PMID: 30577788 Free PMC article.

7

Benchmarking network propagation methods for disease gene identification.

Picart-Armada S, Barrett SJ, Willé DR, Perera-Lluna A, Gutteridge A, Dessailly BH. Picart-Armada S, et al. PLoS Comput Biol. 2019 Sep 3;15(9):e1007276. doi: 10.1371/journal.pcbi.1007276. eCollection 2019 Sep. PLoS Comput Biol. 2019. PMID: 31479437 Free PMC article.

8

The effect of statistical normalization on network propagation scores.

Picart-Armada S, Thompson WK, Buil A, Perera-Lluna A. Picart-Armada S, et al. Bioinformatics. 2021 May 5;37(6):845-852. doi: 10.1093/bioinformatics/btaa896. Bioinformatics. 2021. PMID: 33070187 Free PMC article.

9

MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms.

Marín-Llaó J, Mubeen S, Perera-Lluna A, Hofmann-Apitius M, Picart-Armada S, Domingo-Fernández D. Marín-Llaó J, et al. Bioinformatics. 2021 Apr 9;37(1):137-139. doi: 10.1093/bioinformatics/btaa1069. Bioinformatics. 2021. PMID: 33367476 Free PMC article.

10

Balancing Data on Deep Learning-Based Proteochemometric Activity Classification.

Lopez-Del Rio A, Picart-Armada S, Perera-Lluna A. Lopez-Del Rio A, et al. J Chem Inf Model. 2021 Apr 26;61(4):1657-1669. doi: 10.1021/acs.jcim.1c00086. Epub 2021 Mar 29. J Chem Inf Model. 2021. PMID: 33779173 Free PMC article.

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