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Paper Details

Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer.
J Med Imaging (Bellingham)
10
2021
ADC, AKT, Gene sets, NSCLC, Rho gene sets, adenocarcinoma, gene, gene signatures, genes, histology, hypoxia genes, non-small cell lung cancer, predictive genes, squamous, squamous cell, tumor, tumor necrosis factor
Author NameAffiliation
Nova F SmedleyUniversity of California los angeles
Nova F SmedleyUniversity of California los angeles
Nova F SmedleyUniversity of California los angeles
Nova F SmedleyUniversity of California los angeles
Denise R AberleUniversity of California los angeles
Denise R AberleUniversity of California los angeles
Denise R AberleUniversity of California los angeles
Denise R AberleUniversity of California los angeles
William HsuUniversity of California los angeles
William HsuUniversity of California los angeles
William HsuUniversity of California los angeles
William HsuUniversity of California los angeles
William HsuUniversity of California los angeles
William HsuUniversity of California los angeles
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Release 1.2