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...

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Bibliographic Details
Main Authors: Jianqiao Pan, Baoshan Ma, Xiaoyu Hou, Chongyang Li, Tong Xiong, Yi Gong, Fengju Song
Format: Article
Language:English
Published: AIMS Press 2022-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022576?viewType=HTML