Fernandez-Lozano C - Search Results

1

Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.

Mata G, Radojević M, Fernandez-Lozano C, Smal I, Werij N, Morales M, Meijering E, Rubio J. Mata G, et al. Neuroinformatics. 2019 Apr;17(2):253-269. doi: 10.1007/s12021-018-9399-4. Neuroinformatics. 2019. PMID: 30215167

2

Texture analysis in gel electrophoresis images using an integrative kernel-based approach.

Fernandez-Lozano C, Seoane JA, Gestal M, Gaunt TR, Dorado J, Pazos A, Campbell C. Fernandez-Lozano C, et al. Sci Rep. 2016 Jan 13;6:19256. doi: 10.1038/srep19256. Sci Rep. 2016. PMID: 26758643 Free PMC article.

3

Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data.

Liñares-Blanco J, Fernandez-Lozano C, Seoane JA, Lopez-Campos G. Liñares-Blanco J, et al. Stud Health Technol Inform. 2021 May 27;281:382-386. doi: 10.3233/SHTI210185. Stud Health Technol Inform. 2021. PMID: 34042770

4

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

Fernandez-Lozano C, Gestal M, Pedreira-Souto N, Postelnicu L, Dorado J, Munteanu CR. Fernandez-Lozano C, et al. Curr Top Med Chem. 2013;13(14):1681-91. doi: 10.2174/15680266113139990119. Curr Top Med Chem. 2013. PMID: 23889046

5

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.

Fernandez-Lozano C, Cuiñas RF, Seoane JA, Fernández-Blanco E, Dorado J, Munteanu CR. Fernandez-Lozano C, et al. J Theor Biol. 2015 Nov 7;384:50-8. doi: 10.1016/j.jtbi.2015.07.038. Epub 2015 Aug 20. J Theor Biol. 2015. PMID: 26297890

6

Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection.

Blanco JL, Porto-Pazos AB, Pazos A, Fernandez-Lozano C. Blanco JL, et al. Sci Rep. 2018 Oct 24;8(1):15688. doi: 10.1038/s41598-018-33911-z. Sci Rep. 2018. PMID: 30356060 Free PMC article.

7

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs.

Piles M, Fernandez-Lozano C, Velasco-Galilea M, González-Rodríguez O, Sánchez JP, Torrallardona D, Ballester M, Quintanilla R. Piles M, et al. Genet Sel Evol. 2019 Mar 13;51(1):10. doi: 10.1186/s12711-019-0453-y. Genet Sel Evol. 2019. PMID: 30866799 Free PMC article.

8

MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry.

Carracedo-Reboredo P, Corona R, Martinez-Nunes M, Fernandez-Lozano C, Tsiliki G, Sarimveis H, Aranzamendi E, Arrasate S, Sotomayor N, Lete E, Munteanu CR, González-Díaz H. Carracedo-Reboredo P, et al. Curr Top Med Chem. 2020;20(4):305-317. doi: 10.2174/1568026620666191226092431. Curr Top Med Chem. 2020. PMID: 31878856

9

Molecular docking and machine learning analysis of Abemaciclib in colon cancer.

Liñares-Blanco J, Munteanu CR, Pazos A, Fernandez-Lozano C. Liñares-Blanco J, et al. BMC Mol Cell Biol. 2020 Jul 8;21(1):52. doi: 10.1186/s12860-020-00295-w. BMC Mol Cell Biol. 2020. PMID: 32640984 Free PMC article.

10

Machine learning analysis of TCGA cancer data.

Liñares-Blanco J, Pazos A, Fernandez-Lozano C. Liñares-Blanco J, et al. PeerJ Comput Sci. 2021 Jul 12;7:e584. doi: 10.7717/peerj-cs.584. eCollection 2021. PeerJ Comput Sci. 2021. PMID: 34322589 Free PMC article.

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