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MOESM1 of 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

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posted on 2019-10-18, 09:30 authored by Ming Fan, Pingping Xia, Bin Liu, Lin Zhang, Yue Wang, Xin Gao, Lihua Li
Additional file 1: Table S1. Top five enriched pathways of 16 gene modules. Table S2. Biological annotation of the 158 genes from the gene module (Tan) and the 43 genes in the signature for regressing the maximum probability feature from the fast-flow kinetics-related tumour subregion. Table S3. Pathway analysis of 38 identified genes in the signature for regressing the tumour volume feature. Table S4. Pathway analysis of 57 identified genes in the signature for regressing the maximum probability feature from the slow-flow kinetics-associated tumour subregion.

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National Natural Science Foundation of China

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