{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:45:51Z","timestamp":1740185151761,"version":"3.37.3"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"13","license":[{"start":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T00:00:00Z","timestamp":1589241600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The classification of biological samples by means of their respective molecular profiles is a topic of great interest for its potential diagnostic, prognostic and investigational applications. rScudo is an R package for the classification of molecular profiles based on a radically new approach consisting in the analysis of the similarity of rank-based sample-specific signatures. The validity of rScudo unconventional approach has been validated through direct comparison with current methods in the international SBV IMPROVER Diagnostic Signature Challenge. Due to its novelty, there is ample room for conceptual improvements and for exploring additional applications. The rScudo package has been specifically designed to facilitate experimenting with the rank-based signature approach, to test its application to different types of molecular profiles and to simplify direct comparison with existing methods.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The package is available as part of the Bioconductor suite at https:\/\/bioconductor.org\/packages\/rScudo.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa296","type":"journal-article","created":{"date-parts":[[2020,5,6]],"date-time":"2020-05-06T11:32:55Z","timestamp":1588764775000},"page":"4095-4096","source":"Crossref","is-referenced-by-count":0,"title":["rScudo: an R package for classification of molecular profiles using rank-based signatures"],"prefix":"10.1093","volume":"36","author":[{"given":"Matteo","family":"Ciciani","sequence":"first","affiliation":[{"name":"CIBIO\u2013\u2013Centre for Integrative Biology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Cantore","sequence":"additional","affiliation":[{"name":"CIBIO\u2013\u2013Centre for Integrative Biology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5983-7292","authenticated-orcid":false,"given":"Mario","family":"Lauria","sequence":"additional","affiliation":[{"name":"Department of Mathematics , University of Trento, 38123 Povo, Trentino, Italy"},{"name":"The Microsoft Research\u2013University of Trento Centre for Computational and Systems Biology (COSBI) , 38068 Rovereto, Trentino, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,5,12]]},"reference":[{"key":"2023062300444149500_btaa296-B1","doi-asserted-by":"crossref","first-page":"32583","DOI":"10.1038\/srep32583","article-title":"Integration of transcriptomic and genomic data suggests candidate mechanisms for APOE4-mediated pathogenic action in Alzheimer\u2019s disease","volume":"6","author":"Caberlotto","year":"2016","journal-title":"Sci. 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