MOESM1 of Significant random signatures reveals new biomarker for breast cancer

Additional file 1 A set of 840 significant genes which is resulted by “Extracting significant genes embedded in empirically significant random signatures” subsection.

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Bibliographische Detailangaben
Hauptverfasser:	Elnaz Saberi Ansar, Changiz Eslahchii, Rahimi, Mahsa, Lobat Geranpayeh, Ebrahimi, Marzieh, Aghdam, Rosa, Gwenneg Kerdivel
Format:	Dataset
Sprache:	eng
Schlagworte:	Cancer Cell Biology Computational Biology Developmental Biology FOS: Biological sciences FOS: Computer and information sciences FOS: Health sciences Genetics Infectious Diseases Information Systems not elsewhere classified Medicine Mental Health Molecular Biology Physiology Space Science Virology
Online-Zugang:	Volltext bestellen
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