Most random gene expression signatures are significantly associated with breast cancer outcome.
Bridging the gap between animal or in vitro models and human disease is essential in medical research. Researchers often suggest that a biological mechanism is relevant to human cancer from the statistical association of a gene expression marker (a signature) of this mechanism, that was discovered i...
Main Authors: | David Venet, Jacques E Dumont, Vincent Detours |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-10-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3197658?pdf=render |
Similar Items
-
A measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.
by: David Venet, et al.
Published: (2012-01-01) -
Dynamic Cancer Cell Heterogeneity: Diagnostic and Therapeutic Implications
by: Valerie Jacquemin, et al.
Published: (2022-01-01) -
The significance of heat shock protein 27 in breast cancer: A signature to predict the outcome
by: Manish Singh, et al.
Published: (2023-01-01) -
Assessing the biological significance of gene expression signatures and co-expression modules by studying their network properties.
by: Pablo Minguez, et al.
Published: (2011-01-01) -
Prognostic Significance of Cuproptosis-Related Gene Signatures in Breast Cancer Based on Transcriptomic Data Analysis
by: Zizhen Zhou, et al.
Published: (2022-11-01)