1. OAR@UM
  2. Faculty of Health Sciences
  3. Department of Applied Biomedical Sciences
  4. Scholarly Works - FacHScABS
Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/117950
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPapadopoulos, Giorgos L.-
dc.contributor.authorAlexiou, Panagiotis-
dc.contributor.authorMaragkakis, Manolis-
dc.contributor.authorReczko, Martin-
dc.contributor.authorHatzigeorgiou, Artemis G.-
dc.date.accessioned2024-01-30T08:55:15Z-
dc.date.available2024-01-30T08:55:15Z-
dc.date.issued2009-
dc.identifier.citationPapadopoulos, G. L., Alexiou, P., Maragkakis, M., Reczko, M., & Hatzigeorgiou, A. G. (2009). DIANA-mirPath: Integrating human and mouse microRNAs in pathways. Bioinformatics, 25(15), 1991-1993.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/117950-
dc.description.abstractSummary: DIANA-mirPath is a web-based computational tool developed to identify molecular pathways potentially altered by the expression of single or multiple microRNAs. The software performs an enrichment analysis of multiple microRNA target genes comparing each set of microRNA targets to all known KEGG pathways. The combinatorial effect of co-expressed microRNAs in the modulation of a given pathway is taken into account by the simultaneous analysis of multiple microRNAs. The graphical output of the program provides an overview of the parts of the pathway modulated by microRNAs, facilitating the interpretation and presentation of the analysis results.en_GB
dc.language.isoenen_GB
dc.publisherOxford University Pressen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectMicroRNAen_GB
dc.subjectVisualizationen_GB
dc.subjectDeep learning (Machine learning)en_GB
dc.subjectInformation storage and retrieval systemsen_GB
dc.titleDIANA-mirPath : integrating human and mouse microRNAs in pathwaysen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1093/bioinformatics/btp299-
dc.publication.titleBioinformaticsen_GB
Appears in Collections:Scholarly Works - FacHScABS

Files in This Item:
File Description SizeFormat 
DIANA_mirPath.pdf
  Restricted Access		307.28 kBAdobe PDFView/Open Request a copy
Show simple item record Statistics


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.