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.

rScudo: an R package for classification of molecular profiles using rank-based signatures / Ciciani, Matteo; Cantore, Thomas; Lauria, Mario. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - 36:13(2020), pp. 4095-4096. [10.1093/bioinformatics/btaa296]

rScudo: an R package for classification of molecular profiles using rank-based signatures

Cantore, Thomas;Lauria, Mario
2020-01-01

Abstract

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.
2020
13
Ciciani, Matteo; Cantore, Thomas; Lauria, Mario
rScudo: an R package for classification of molecular profiles using rank-based signatures / Ciciani, Matteo; Cantore, Thomas; Lauria, Mario. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - 36:13(2020), pp. 4095-4096. [10.1093/bioinformatics/btaa296]
File in questo prodotto:
File Dimensione Formato  
BIOINF-2019-0960.R1_CleanProof.pdf

Open Access dal 03/06/2021

Tipologia: Post-print referato (Refereed author’s manuscript)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.53 MB
Formato Adobe PDF
1.53 MB Adobe PDF Visualizza/Apri
btaa296.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 156.25 kB
Formato Adobe PDF
156.25 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/266258
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact