Open AccessIdentification of a Molecular Signature to Predict the Progression of Kidney Fibrosis Post Transplantation.
Author(s) -
Wei Zhang,
Philip J. O’Connell,
Madhav C. Me,
Zhengzi Yi,
Lorenzo Gallon,
Yi Luan,
Ivy A. Rosales,
Bernd Schröppel,
Bojan Losic,
Milagros Samaniego,
Arjang Djamali,
S. Alexander,
Nader Najafian,
Brian J. Nankivell,
Jeremy R. Chapman,
Rex Neal Smith,
R. B. Colvin,
Barbara Murphy
Publication year - 2014
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/00007890-201407151-03016
Subject(s) - transplantation , medicine , microarray , gene signature , kidney transplantation , gene chip analysis , microarray analysis techniques , fibrosis , chronic allograft nephropathy , proportional hazards model , pathology , renal function , gene expression profiling , oncology , gene expression , gene , biology , genetics