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- Data for: Transcriptomics-based screening of molecular signatures associated with patients overall survival and their key regulators in subtypes of breast cancerIn the present study, we proposed a comprehensive data analysis and systems biology approach to explore molecular signatures which reduce the chance of patients overall survival and the possible mechanisms of their regulation by transcription factors (TFs) and microRNAs (miRNAs) in the main subtypes of breast tumor consist of Basal like, Her2 enriched, Luminal A and Luminal B breast cancer.
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- Data for: FANCM, RAD1, CHEK1 and TP53I3 Act as BRCA-like Tumor Suppressors and are Mutated in Hereditary Ovarian CancerData from functional analysis
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