Machine Learning Model for Lymph Node Metastasis Prediction in Breast Cancer Using Random Forest Algorithm and Mitochondrial Metabolism Hub Genes

Machine Learning Model for Lymph Node Metastasis Prediction in Breast Cancer Using Random Forest Algorithm and Mitochondrial Metabolism Hub Genes

Breast cancer metastasis can have a fatal outcome, with the prediction of metastasis being critical for establishing effective treatment strategies. RNA-sequencing (RNA-seq) is a good tool for identifying genes that promote and support metastasis development. The hub gene analysis method is a bioinf...

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Bibliographic Details
Main Authors: Byung-Chul Kim, Jingyu Kim, Ilhan Lim, Dong Ho Kim, Sang Moo Lim, Sang-Keun Woo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
sequence analysis
RNA/history
gene expression profiling/methods
models
statistical
algorithms
Online Access:https://www.mdpi.com/2076-3417/11/7/2897

Internet

https://www.mdpi.com/2076-3417/11/7/2897

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