An Integrative Computational Approach Based on Expression Similarity Signatures to Identify Protein–Protein Interaction Networks in Female-Specific Cancers

An Integrative Computational Approach Based on Expression Similarity Signatures to Identify Protein–Protein Interaction Networks in Female-Specific Cancers

Breast, ovarian, and endometrial cancers have a major impact on mortality in women. These tumors share hormone-dependent mechanisms involved in female-specific cancers which support tumor growth in a different manner. Integrated computational approaches may allow us to better detect genomic similari...

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Bibliographic Details
Main Authors: Katia Pane, Ornella Affinito, Mario Zanfardino, Rossana Castaldo, Mariarosaria Incoronato, Marco Salvatore, Monica Franzese
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Genetics
Subjects:
TCGA
breast cancer
ovarian cancer
endometrial cancer
bioinformatics
signaling pathway
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.612521/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.612521/full

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