Autor segons l'article: Llambrich, Maria; Correig, Eudald; Guma, Josep; Brezmes, Jesus; Cumeras, Raquel;
Departament: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/s de la URV: Brezmes Llecha, Jesús Jorge / Correig Fraga, Eudald / Cumeras Olmeda, Raquel / Llambrich Rodriguez, Maria
Paraules clau: Software Metabolomics Cancer
Resum: A Summary: The combination, analysis and evaluation of different studies which try to answer or solve the same scientific question, also known as a meta-analysis, plays a crucial role in answering relevant clinical relevant questions. Unfortunately, metabolomics studies rarely disclose all the statistical information needed to perform a meta-analysis. Here, we present a meta-analysis approach using only the most reported statistical parameters in this field: P-value and fold-change. The P-values are combined via Fisher's method and fold-changes by averaging, both weighted by the study size (n). The amanida package includes several visualization options: a volcano plot for quantitative results, a vote plot for total regulation behaviours (up/down regulations) for each compound, and a explore plot of the vote-counting results with the number of times a compound is found upregulated or downregulated. In this way, it is very easy to detect discrepancies between studies at a first glance.
Àrees temàtiques: Statistics and probability Statistics & probability Odontología Nutrição Molecular biology Medicina veterinaria Medicina ii Medicina i Mathematics, interdisciplinary applications Mathematical & computational biology Matemática / probabilidade e estatística Interdisciplinar General medicine Engenharias iv Economia Computer science, interdisciplinary applications Computer science applications Computational theory and mathematics Computational mathematics Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência da computação Biotecnología Biotechnology & applied microbiology Biology, miscellaneous Biodiversidade Biochemistry Biochemical research methods Astronomia / física
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: maria.llambrich@urv.cat eudald.correig@urv.cat raquel.cumeras@urv.cat eudald.correig@urv.cat maria.llambrich@urv.cat jesus.brezmes@urv.cat
Identificador de l'autor: 0000-0001-8418-0982 0000-0003-4663-4247 0000-0001-8418-0982 0000-0002-7704-8550
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://academic.oup.com/bioinformatics/article/38/2/583/6354350?login=false
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Bioinformatics. 38 (2): 583-585
Referència de l'ítem segons les normes APA: Llambrich, Maria; Correig, Eudald; Guma, Josep; Brezmes, Jesus; Cumeras, Raquel; (2022). Amanida: an R package for meta-analysis of metabolomics non-integral data. Bioinformatics, 38(2), 583-585. DOI: 10.1093/bioinformatics/btab591
DOI de l'article: 10.1093/bioinformatics/btab591
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV