Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data
Abstract Background Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor – the laterality – can be unilateral (the tumor is affecting one side of the prostate), or bilateral on both sides. Nevertheless, th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-03-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-3345-9 |