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Gene expression and agent-based modeling improve precision prognosis in breast cancer

Abstract Breast cancer survival is hard to predict because of the complex ways genes and cells interact. This study offers a new method to improve these predictions by combining gene expression profiling (GEP) with agent-based modeling (ABM). First, GEP will pinpoint genes that are important in brea...

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Principais autores: Padmasri Sridharan, Mini Ghosh
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-05-01
Serier:Scientific Reports
Fag:
Breast cancer
Gene expression profiling
Agent-based model
Survival predictions
Mathematical modeling
Machine learning
Online adgang:https://doi.org/10.1038/s41598-025-01275-w
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