Ontology highlight
ABSTRACT: Background
Bladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic and epigenetic changes that have evolved in stem and progenitor cells. To address this issue, we have developed a novel stem cell typing method.Methods
Based on six published genomic datasets, we used 26 stem cell gene sets to classify each dataset. Unsupervised and supervised machine learning methods were used to perform the classification.Results
We classified BLCA into three subtypes-high stem cell enrichment (SCE_H), medium stem cell enrichment (SCE_M), and low stem cel
SUBMITTER: Tang C
PROVIDER: S-EPMC7594303 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature