The construction of transcriptional risk scores for breast cancer based on lightGBM and multiple omics data
Background: Polygenic risk score (PRS) can evaluate the individual-level genetic risk of breast cancer. However, standalone single nucleotide polymorphisms (SNP) data used for PRS may not provide satisfactory prediction accuracy. Additionally, current PRS models based on linear regression have insu...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-08-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022576?viewType=HTML |