Tumour heterogeneity revealed by unsupervised decomposition of dynamic contrast-enhanced magnetic resonance imaging is associated with underlying gene expression patterns and poor survival in breast cancer patients

Journal article

Open access

Peer reviewed

Ming Fan, Pingping Xia, Bin Liu, Lin Zhang, Yue Wang, Xin Gao and Lihua Li

Breast cancer research : BCR, Vol.21(1), pp.112-112

17/10/2019

PMCID: PMC6798414

PMID: 31623683

Abstract

Breast cancer

Convex analysis of mixtures

Dynamic magnetic resonance imaging

Gene pathway analysis

Recurrence-free survival

url

https://doi.org/10.1186/s13058-019-1199-8View

Published (Version of record) Open

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Title: Tumour heterogeneity revealed by unsupervised decomposition of dynamic contrast-enhanced magnetic resonance imaging is associated with underlying gene expression patterns and poor survival in breast cancer patients
Creators - without role: Ming Fan - Hangzhou Dianzi University
Pingping Xia - Xiasha High Education Zone, Hangzhou, 310018 Zhejiang China
Bin Liu - Hangzhou Dianzi University
Lin Zhang - Hangzhou Dianzi University
Yue Wang - Virginia Tech
Xin Gao - King Abdullah University of Science and Technology
Lihua Li - Hangzhou Dianzi University
Publication Details: Breast cancer research : BCR, Vol.21(1), pp.112-112
Publisher: BioMed Central
Grant note: LJ19H180001 / ; 61731008; 61871428 / ; URF/1/3450-01 / ;
Identifiers: 9944761208331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article