TY  - BOOK
AU  - Spath, Nicolas Luca
PY  - 2024
DA  - 2024//
TI  - radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes
PB  - Universität Rostock
CY  - Rostock
AB  - The herein-developed bioinformatics workflow aims to improve the interpretability of results from a multi-omics integration. Extraction of 86 image features from the CT image series describing tumor characteristics is followed by differential expression/methylation analysis. Regulation of signaling and cellular response to organic substance were reflected in CT image phenotypes. Hypomethylation showed a distinct shift in tumor texture. The described approach is generalizable to other cancer entities or non-malignant diseases to broaden the interpretability of future radiogenomics studies.<eng>
UR  - https://purl.uni-rostock.de/rosdok/id00005084
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005084-9
UR  - https://d-nb.info/1388827182/34
UR  - https://doi.org/10.18453/rosdok_id00005084
DO  - 10.18453/rosdok_id00005084
LA  - English
N1  - vorgelegt von Nicolas Luca Spath
ID  - 1950519996
ER  -