Ontology highlight
ABSTRACT:
SUBMITTER: Su S
PROVIDER: S-EPMC7211867 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Su Sumeyye S Shahriyari Leili L
Royal Society open science 20200429 4
Recent advances in biotechnology led to generation of large complex biological and clinical datasets that can be used to infer the underlying mechanism of many diseases and arrive at personalized treatments. One of these datasets are the whole genome profiles, including a good collection of publicly available human gene expression datasets. In this project, we analysed gene expression profiles of patients with renal cell carcinoma (RCC). We found that the regulator of G-protein signalling 5 (RGS ...[more]