作者: Mariarosaria Incoronato , Marco Aiello , Teresa Infante , Carlo Cavaliere , Anna Grimaldi
DOI: 10.3390/IJMS18040805
关键词: Genomics 、 Instrumentation (computer programming) 、 Data analysis 、 Radiogenomics 、 Bioinformatics 、 Data science 、 Analysis method 、 Medicine 、 Radiomics
摘要: In the last few years, biomedical research has been boosted by technological development of analytical instrumentation generating a large volume data. Such information increased in complexity from basic (i.e., blood samples) to extensive sets encompassing many aspects subject phenotype, and now rapidly extending into genetic and, more recently, radiomic information. Radiogenomics integrates both aspects, investigating relationship between imaging features gene expression. From methodological point view, radiogenomics takes advantage non-conventional data analysis techniques that reveal meaningful for decision-support cancer diagnosis treatment. This survey is aimed review state-of-the-art employed radiomics genomics with special focus on methods based molecular multimodal probes. The impact single combined will be discussed light their suitability correlation predictive studies specific oncologic diseases.