Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning

Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning

Abstract The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies f...

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Bibliographic Details
Main Authors: Huilin Chen, Zhenghui Wang, Jiale Shi, Jinghui Peng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Breast cancer
Mitochondrial and lysosomal dysfunction
Machine learning
Sc-RNA
Immunotherapy
Online Access:https://doi.org/10.1038/s41598-025-86970-4
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https://doi.org/10.1038/s41598-025-86970-4

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