Skip to Main content Skip to Navigation
Journal articles

Systems biology analysis of gene expression data and gene network reverse-engineering approaches reveal NFAT5 as a candidate biomarker in Inflammatory Breast Cancer

Andrea Remo 1 Ines Simeone 2 Massimo Pancione 2 Pietro Parcesepe Pascal Finetti 3 Halima Bensmail 4 Luigi Cerulo 2 Vittorio Colantuoni 2 Daniel Birnbaum 3 Franco Bonetti 5 François Bertucci 3 Erminia Manfrin 5 Michele Ceccarelli 2 
1 Department of Pathology
2 Department of Science and Technology
3 CRCM - Centre de Recherche en Cancérologie de Marseille
4 QCRI - Qatar Computing Research Institute
5 Department of Pathology and Diagnosis
Document type :
Journal articles
Complete list of metadata
https://hal-amu.archives-ouvertes.fr/hal-03623751
Contributor : François Bertucci Connect in order to contact the contributor
Submitted on : Tuesday, March 29, 2022 - 7:03:46 PM
Last modification on : Thursday, March 31, 2022 - 4:13:04 PM

Links full text

pubmedcentral

Identifiers

Collections

INSERM | CNRS | UNIV-AMU | CRCM

Citation

Andrea Remo, Ines Simeone, Massimo Pancione, Pietro Parcesepe, Pascal Finetti, et al.. Systems biology analysis of gene expression data and gene network reverse-engineering approaches reveal NFAT5 as a candidate biomarker in Inflammatory Breast Cancer. Journal for Immunotherapy of Cancer, BMJ Publishing Group 2015, 3 (Suppl 1), pp.P6. ⟨10.1186/2051-1426-3-s1-p6⟩. ⟨hal-03623751⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

8