Integrating imaging and RNA-seq improves outcome prediction in cervical cancer
Integrating imaging and RNA-seq improves outcome prediction in cervical cancer
About this item
Full title
Author / Creator
Publisher
United States: American Society for Clinical Investigation
Journal title
Language
English
Formats
Publication information
Publisher
United States: American Society for Clinical Investigation
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More information
Scope and Contents
Contents
Approaches using a single type of data have been applied to classify human tumors. Here we integrate imaging features and transcriptomic data using a prospectively collected tumor bank. We demonstrate that increased maximum standardized uptake value on pretreatment 18F-fluorodeoxyglucose-positron emission tomography correlates with epithelial-to-me...
Alternative Titles
Full title
Integrating imaging and RNA-seq improves outcome prediction in cervical cancer
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7919714
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7919714
Other Identifiers
ISSN
0021-9738
E-ISSN
1558-8238
DOI
10.1172/JCI139232
