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TranscriptomicsBreast Cancer Gene Expression Data from Frankfurt Series
Pooling of microarray datasets seems to be a reasonable approach to increase sample size when a heterogeneous disease like breast cancer is concerned. Different methods for the adaption of datasets have been used in the literature. We have analyzed influences of these strategies using a pool of 3,03...
ORGANISM(S): Homo sapiens 
2014-10-14 | E-GEOD-4611 | biostudies-arrayexpress
TranscriptomicsAffymetrix data for training of Endopredict algorithm
These data, combined with other cohorts (GSE6532, GSE12093, and qRT-PCR based cohorts), was used to construct the EP algorithm, which predicts the likelihood of developing of a distant recurrence of early stage breast cancer under endocrine treatment. In addition, EPclin, a combination of the EP sco...
ORGANISM(S): Homo sapiens 
2011-10-10 | E-GEOD-26971 | biostudies-arrayexpress
TranscriptomicsA Clinically Relevant Gene Signature in Triple-Negative and Basal-Like Breast Cancer
Current prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple-negative breast cancers (TNBCs) are clinically heterogeneous, and prognostic markers and biology-based therapies are needed to better treat this diseas...
ORGANISM(S): Homo sapiens 
2011-09-12 | E-GEOD-31519 | biostudies-arrayexpress
UnknownA Clinically Relevant Gene Signature in Triple-Negative and Basal-Like Breast Cancer
Not available
ORGANISM(S): Homo sapiens 
S-ECPF-GEOD-31519 | biostudies-other
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