Belanche-Muñoz LA - Search Results

1

Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.

Gonzalez-Navarro FF, Stilianova-Stoytcheva M, Renteria-Gutierrez L, Belanche-Muñoz LA, Flores-Rios BL, Ibarra-Esquer JE. Gonzalez-Navarro FF, et al. Among authors: belanche munoz la. Sensors (Basel). 2016 Oct 26;16(11):1483. doi: 10.3390/s16111483. Sensors (Basel). 2016. PMID: 27792165 Free PMC article.

2

Parsimonious selection of useful genes in microarray gene expression data.

González-Navarro FF, Belanche-Muñoz LA. González-Navarro FF, et al. Among authors: belanche munoz la. Adv Exp Med Biol. 2011;696:45-55. doi: 10.1007/978-1-4419-7046-6_5. Adv Exp Med Biol. 2011. PMID: 21431545 Free article.

3

Effective classification and gene expression profiling for the Facioscapulohumeral Muscular Dystrophy.

González-Navarro FF, Belanche-Muñoz LA, Silva-Colón KA. González-Navarro FF, et al. Among authors: belanche munoz la. PLoS One. 2013 Dec 13;8(12):e82071. doi: 10.1371/journal.pone.0082071. eCollection 2013. PLoS One. 2013. PMID: 24349187 Free PMC article.

4

Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques.

González-Navarro FF, Belanche-Muñoz LA, Gámez-Moreno MG, Flores-Ríos BL, Ibarra-Esquer JE, López-Morteo GA. González-Navarro FF, et al. Among authors: belanche munoz la. Genes Genet Syst. 2016 Apr 28;90(6):343-56. doi: 10.1266/ggs.15-00017. Epub 2016 Mar 10. Genes Genet Syst. 2016. PMID: 26960968 Free article.

5

Analysis of Kernel Matrices via the von Neumann Entropy and Its Relation to RVM Performances.

Belanche-Muñoz LA, Wiejacha M. Belanche-Muñoz LA, et al. Entropy (Basel). 2023 Jan 12;25(1):154. doi: 10.3390/e25010154. Entropy (Basel). 2023. PMID: 36673295 Free PMC article.

6

Integrated analysis of established and novel microbial and chemical methods for microbial source tracking.

Blanch AR, Belanche-Muñoz L, Bonjoch X, Ebdon J, Gantzer C, Lucena F, Ottoson J, Kourtis C, Iversen A, Kühn I, Mocé L, Muniesa M, Schwartzbrod J, Skraber S, Papageorgiou GT, Taylor H, Wallis J, Jofre J. Blanch AR, et al. Appl Environ Microbiol. 2006 Sep;72(9):5915-26. doi: 10.1128/AEM.02453-05. Appl Environ Microbiol. 2006. PMID: 16957211 Free PMC article.

7

Predicting fecal sources in waters with diverse pollution loads using general and molecular host-specific indicators and applying machine learning methods.

Casanovas-Massana A, Gómez-Doñate M, Sánchez D, Belanche-Muñoz LA, Muniesa M, Blanch AR. Casanovas-Massana A, et al. Among authors: belanche munoz la. J Environ Manage. 2015 Mar 15;151:317-25. doi: 10.1016/j.jenvman.2015.01.002. Epub 2015 Jan 10. J Environ Manage. 2015. PMID: 25585145

8

HIV drug resistance prediction with weighted categorical kernel functions.

Ramon E, Belanche-Muñoz L, Pérez-Enciso M. Ramon E, et al. BMC Bioinformatics. 2019 Jul 30;20(1):410. doi: 10.1186/s12859-019-2991-2. BMC Bioinformatics. 2019. PMID: 31362714 Free PMC article.

9

kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets.

Ramon E, Belanche-Muñoz L, Molist F, Quintanilla R, Perez-Enciso M, Ramayo-Caldas Y. Ramon E, et al. Front Microbiol. 2021 Jan 28;12:609048. doi: 10.3389/fmicb.2021.609048. eCollection 2021. Front Microbiol. 2021. PMID: 33584612 Free PMC article.

10

Improving the identification of the source of faecal pollution in water using a modelling approach: From multi-source to aged and diluted samples.

Ballesté E, Belanche-Muñoz LA, Farnleitner AH, Linke R, Sommer R, Santos R, Monteiro S, Maunula L, Oristo S, Tiehm A A, Stange C, Blanch AR. Ballesté E, et al. Among authors: belanche munoz la. Water Res. 2020 Mar 15;171:115392. doi: 10.1016/j.watres.2019.115392. Epub 2019 Dec 13. Water Res. 2020. PMID: 31865126

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