G. Cardinali, Paolo Rellini, Cristina Pelliccia, Livio Antonielli, F. Fatichenti
{"title":"MMS: A “R” Package for Metabolomic Markers Search in Stress Response Studies","authors":"G. Cardinali, Paolo Rellini, Cristina Pelliccia, Livio Antonielli, F. Fatichenti","doi":"10.2174/1874136300802010001","DOIUrl":null,"url":null,"abstract":"In stress response studies, metabolomics tries to individuate spectral areas or metabolites whose response to a specific stress is particularly significant. This evaluation is normally carried out with a series of tedious and time consum- ing comparisons of spectral areas obtained from cells subject to different stress intensities. MMS is a package written in \"R\" language able to individuate which part of metabolomic spectra have a statistically significant response giving as out- put the diagrams of the R 2 and of the slope calculated from regression analysis between a vector describing the intensity of the stress and a matrix containing all spectra from differently challenged cells.","PeriodicalId":148247,"journal":{"name":"The Open Applied Informatics Journal","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Applied Informatics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874136300802010001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In stress response studies, metabolomics tries to individuate spectral areas or metabolites whose response to a specific stress is particularly significant. This evaluation is normally carried out with a series of tedious and time consum- ing comparisons of spectral areas obtained from cells subject to different stress intensities. MMS is a package written in "R" language able to individuate which part of metabolomic spectra have a statistically significant response giving as out- put the diagrams of the R 2 and of the slope calculated from regression analysis between a vector describing the intensity of the stress and a matrix containing all spectra from differently challenged cells.