Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Daniel Sanjuan"'
Autor:
Gil Rodas, Eva Ferrer, Xavier Reche, Juan Daniel Sanjuan-Herráez, Alan McCall, Guillermo Quintás
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Professional athletes undertake a variety of training programs to enhance their physical performance, technical-tactical skills, while protecting their health and well-being. Regular exercise induces widespread changes in the whole body in an extreme
Externí odkaz:
https://doaj.org/article/57d855a6e9b645dc9b4e2c8591ffc97b
Autor:
Maria Bruzzone, Clio Rubinos, Andrea Lowden, Juan Appendino, Jorge Vidaurre, Daniel Sanjuan, Naiara Garcia Losarcos, Mauricio Villamar, Jorge Burneo, Luis Mayor, Andres Rodrigues, Camilo Gutierrez, Andres Fernandez
Publikováno v:
Monday, April 24.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a28f0f885d1353573f0f203989f90c
https://doi.org/10.1212/wnl.0000000000203572
https://doi.org/10.1212/wnl.0000000000203572
Autor:
Isabel Ten-Doménech, Marta Moreno-Torres, Juan Daniel Sanjuan-Herráez, David Pérez-Guaita, Guillermo Quintás, Julia Kuligowski
Publikováno v:
Ten Doménech, Isabel Moreno Torres, Marta Sanjuan Herráez, Juan Daniel Pérez Guaita, David Quintás Soriano, Guillermo Kuligowski. Julia 2023 Analysis of longitudinal metabolomic data using multivariate curve resolution-alternating least squares and pathway analysis Chemometrics and Intelligent Laboratory Systems 232
Extraction of meaningful biological information from longitudinal metabolomic studies is a major challenge and typically involves multivariate analysis and dimensional reduction methods for data visualization such as Principal Component Analysis or M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec2703c96b44618b23f7562e70b50e3
https://hdl.handle.net/10550/86735
https://hdl.handle.net/10550/86735
Autor:
Isabel Ten-Doménech, Teresa Martínez-Sena, Marta Moreno-Torres, Juan Daniel Sanjuan-Herráez, José V. Castell, Anna Parra-Llorca, Máximo Vento, Guillermo Quintás, Julia Kuligowski
Publikováno v:
Metabolites, Vol 10, Iss 4, p 126 (2020)
One of the most widely used strategies for metabolite annotation in untargeted LCMS is based on the analysis of MSn spectra acquired using data-dependent acquisition (DDA), where precursor ions are sequentially selected from MS scans based on user-se
Externí odkaz:
https://doaj.org/article/765945b70ebb48eaa19511d65ac2240f
Akademický článek
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Autor:
Antonio Núñez-Ramiro, Juan Martínez-Rodilla, Daniel Sanjuan-Herráez, Álvaro Solaz-García, Coral Barbas, José David Piñeiro-Ramos, Roberto Llorens-Salvador, Mari Merce Cascant, Julia Kuligowski, Abel Albiach-Delgado, Ángeles López-Gonzálvez, Guillermo Quintás, Máximo Vento
Publikováno v:
Pediatric Research. 91:598-605
Infants with moderate and severe neonatal encephalopathy (NE) frequently suffer from long-term adverse outcomes. We hypothesize that the urinary metabolome of newborns with NE reflects the evolution of injury patterns observed with magnetic resonance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72477219095e3869348753952296555a
https://doi.org/10.1038/s41390-021-01553-z
https://doi.org/10.1038/s41390-021-01553-z
Autor:
Jane R, von Gaudecker, Dave F, Clarke, Susan, Perkins, Amza, Ali, Daniel, Sanjuan, Jorge, Vidaurre
Publikováno v:
Epilepsy & Behavior. 138:108998
The impact of pandemic has had worse effects in countries with already stretched healthcare resources. study's The study aimed to explore changes in epilepsy care delivery in resource-limited countries during and since the acute phase of the COVID-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0ad34be82ecb4b76af918b107cb65b4
https://doi.org/10.1016/j.yebeh.2022.108998
https://doi.org/10.1016/j.yebeh.2022.108998
Autor:
Teresa Martínez-Sena, Marta Moreno-Torres, Juan Daniel Sanjuan-Herráez, Máximo Vento, Guillermo Quintás, Isabel Ten-Doménech, Anna Parra-Llorca, Julia Kuligowski, José V. Castell
Publikováno v:
Moreno Torres, Marta Ten Doménech, Isabel Martínez-Sena, Teresa Sanjuan Herráez, Juan Daniel Castell, José V. Parra Llorca, Anna Vento Torres, Máximo Quintás Soriano, Guillermo Kuligowski, Julia 2020 Comparing Targeted vs. Untargeted MS2 Data-Dependent Acquisition for Peak Annotation in LC-MS Metabolomics Metabolites 10 4 126 136
Metabolites, Vol 10, Iss 4, p 126 (2020)
Metabolites
Volume 10
Issue 4
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
Metabolites, Vol 10, Iss 4, p 126 (2020)
Metabolites
Volume 10
Issue 4
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
One of the most widely used strategies for metabolite annotation in untargeted LCMS is based on the analysis of MSn spectra acquired using data-dependent acquisition (DDA), where precursor ions are sequentially selected from MS scans based on user-se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b92e88b08d69e7ca124857f18def524
https://hdl.handle.net/10550/86714
https://hdl.handle.net/10550/86714
Autor:
Julia Kuligowski, Juan Daniel Sanjuan-Herráez, Máximo Vento, José David Piñeiro-Ramos, Guillermo Quintás, Ángel Sánchez-Illana
Publikováno v:
ANALYTICA CHIMICA ACTA
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
Systematic variation of the instrument's response both within- and between-batches is frequently observed in untarget LC-MS metabolomics involving the analysis of a large number of samples. The so-called batch effect decreases the statistical power a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8df0330ae6580d440c8cc6b25c0991d
https://doi.org/10.1016/j.aca.2018.02.053
https://doi.org/10.1016/j.aca.2018.02.053
Akademický článek
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