Article
Nomogram Models Based on Gene Expression in Prediction of Breast Cancer Bone Metastasis
2021-11-30
Abstract excerpt
<h4>Objective: </h4> To design a weighted co-expression network and build gene expression signature-based nomogram (GESBN) models for predicting the likelihood of bone metastasis in breast cancer (BC) patients. <h4>Methods: </h4>: Dataset GSE124647 was used as a training set, and GSE14020 was taken as a validation set. In the training cohort, limma package in R was adopted to obtain differentially expressed genes...
Topics
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- Bioinformatics and Genomic Networks
- Bladder and Urothelial Cancer Treatments
- Cancer Immunotherapy and Biomarkers
- Cancer-related molecular mechanisms research
- Ferroptosis and cancer prognosis
- Gene expression and cancer classification
- Genomics, phytochemicals, and oxidative stress
- RNA modifications and cancer
Identifiers and source
- Literature Corpus work
- 3c5ff65c-9204-5e23-8236-11b1106fb38d
- DOI
- 10.21203/rs.3.rs-1109324/v1
