EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer.

Journal: BMC medical genomics

Published Date: May 7, 2021

Abstract

BACKGROUND: Today, there are a lot of markers on the prognosis and diagnosis of complex diseases such as primary breast cancer. However, our understanding of the drivers that influence cancer aggression is limited.

Authors

Leila Mirsadeghi

Department of Biology, Faculty of Science, Payame Noor University, Tehran, Iran.
Reza Haji Hosseini

Department of Biology, Faculty of Science, Payame Noor University, Tehran, Iran. hosseini@pnu.ac.ir.
Ali Mohammad Banaei-Moghaddam

Laboratory of Genomics and Epigenomics (LGE), Department of Biochemistry, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Kaveh Kavousi

Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.

Keywords

Algorithms Biomarkers, Tumor Breast Neoplasms Female Humans Machine Learning Mutation Neoplasm Metastasis Prognosis

External Resources

View on PubMed Access via DOI PubMed (33962648)

EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer.

Abstract

Authors

Keywords

External Resources

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