Materia: Medicina
Derechos de acceso: info:eu-repo/semantics/openAccess
Identificador del investigador: 0000-0001-7541-9832
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Publicaciones relacionadas: Oller-Moreno, S., Mallafré-Muro, C., Fernandez, L., Caballero, E., Blanco, A., Gumà, J., Marco, S., & Pardo, A. (2023). GCIMS: An R package for untargeted gas chromatography – Ion mobility spectrometry data processing. Chemometrics and Intelligent Laboratory Systems, 241, 104938. https://doi.org/10.1016/j.chemolab.2023.104938
Resumen: The dataset includes the set of urine samples in .mea format, which can be read using the GCIMS R package. It also contains analytical standards in the same format, used for quality control of the equipment and as a retention time alignment reference. If you want to preview the data, you do not need to download the full Urines.zip and AnalyticalStandards.zip files, but rather use the smaller UrinesDemo.zip and AnalyticalStandardsDemo.zip, with a subset of just three samples of the whole dataset. Besides the actual measurements, you will find the annotations.csv and reference_peaks.csv files, with sample annotations and some reference peaks identified in the samples.
Departamento: Medicina i Cirurgia
DOI: 10.5281/zenodo.7941230
Tipo de documento: info:eu-repo/semantics/other
DOI de la publicación relacionada: 10.1016/j.chemolab.2023.104938
Fecha alta repositorio: 2023-05-16
Autor: Gumà, Josep
Palabras clave: GC-IMS, Urine, FlavourSpec
Grupo de investigación: Grup de recerca en Oncologia
Año de publicación de la dataset: 2023
Título del conjunto de datos: A Gas Chromatography – Ion Mobility Spectrometry dataset for colorectal cancer diagnostic of 56 urine samples corresponding to 29 subjects.
Repositori URV