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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
Ming Fan
(Creator)
Pingping Xia
(Creator)
Bin Liu
(Creator)
Lin Zhang
(Creator)
Yue Wang
(Creator)
Xin Gao
(Creator)
Lihua Li
(Creator)
Ming Fan
(Creator)
Pingping Xia
(Creator)
Bin Liu
(Creator)
Lin Zhang
(Creator)
Yue Wang
(Creator)
Lihua Li
(Creator)
Computer Science
Computer, Electrical and Mathematical Sciences and Engineering
Dataset
Overview
Research output
(1)
Research output
Research output per year
2019
2019
2019
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2019
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.
Fan, M., Xia, P., Liu, B., Zhang, L., Wang, Y.,
Gao, X.
& Li, L.,
Oct 17 2019
,
In:
Breast cancer research : BCR.
21
,
1
Research output
:
Contribution to journal
›
Article
›
peer-review
Gene Expression
100%
Breast Cancer
100%
Tumour Heterogeneity
100%
Dynamic Contrast-Enhanced MRI
100%
Recurrence Free Survival
100%
21
Scopus citations