Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer

Radiogenomics has attracted attention for predicting the molecular biological characteristics of tumors from clinical images, which are originally a collection of numerical values, such as computed tomography (CT) scans. A prediction model using genetic information is constructed using thousands of...

Descripción completa

Detalles Bibliográficos
Autores principales: Iwatate, Yosuke, Yokota, Hajime, Hoshino, Isamu, Ishige, Fumitaka, Kuwayama, Naoki, Itami, Makiko, Mori, Yasukuni, Chiba, Satoshi, Arimitsu, Hidehito, Yanagibashi, Hiroo, Takayama, Wataru, Uno, Takashi, Lin, Jason, Nakamura, Yuki, Tatsumi, Yasutoshi, Shimozato, Osamu, Nagase, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997334/
https://www.ncbi.nlm.nih.gov/pubmed/35419611
http://dx.doi.org/10.3892/ijo.2022.5350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997334/
https://www.ncbi.nlm.nih.gov/pubmed/35419611
http://dx.doi.org/10.3892/ijo.2022.5350

Ejemplares similares