A Data Science Approach for the Identification of Molecular Signatures of Aggressive Cancers

A Data Science Approach for the Identification of Molecular Signatures of Aggressive Cancers

The main hallmarks of cancer include sustaining proliferative signaling and resisting cell death. We analyzed the genes of the WNT pathway and seven cross-linked pathways that may explain the differences in aggressiveness among cancer types. We divided six cancer types (liver, lung, stomach, kidney,...

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Bibliographic Details
Main Authors: Barbosa-Silva, A. (Author), Carels, N. (Author), Carneiro, F.R.G (Author), da Silva, F.A.B (Author), da Silva, G.F (Author), Magalhães, M. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
aggressiveness
cancer
interactome
machine learning
PCA
prognostic genes
RFC
RNA-seq
WNT pathways
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