Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms.
Background: Transcriptome sequencing has been broadly available in clinical studies. However, it remains a challenge to utilize these data effectively for clinical applications due to the high dimension of the data and the highly correlated expression between individual genes.Methods: We proposed a...
| Published in: | Breast Cancer Research Vol. 23; no. 1; pp. 1 - 12 |
|---|---|
| Main Authors: | , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
BioMed Central
10/10/2021
|
| Online Access: | View this record in EBSCOhost |