DeepCIA: a novel deep-learning model for cancer type identification using class activation map via transcription factor expression.

Jeong, Seongdo; Lee, Dongjun; Park, Hae Ryoun; Kang, Junho; Yu, Yeuni; Hwang, Jae Joon; Kim, Yun Hak

Jeong, Seongdo; Lee, Dongjun; Park, Hae Ryoun; Kang, Junho; Yu, Yeuni; Hwang, Jae Joon; Kim, Yun Hak.

Afiliação

Jeong S; Research Institute for Convergence of Biomedical Science and Technology, Yangsan Hospital, Pusan National University Yangsan 50612, Republic of Korea.
Lee D; Department of Convergence Medicine, School of Medicine, Pusan National University Yangsan 50612, Republic of Korea.
Park HR; Department of Oral Pathology, School of Dentistry, Pusan National University 49 Busandaehak-ro, Yangsan 50612, Republic of Korea.
Kang J; Periodontal Disease Signaling Network Research Center, School of Dentistry, Pusan National University Yangsan 50612, Republic of Korea.
Yu Y; Medical Research Institute, Pusan National University Pusan, Republic of Korea.
Hwang JJ; Medical Research Institute, Pusan National University Pusan, Republic of Korea.
Kim YH; Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Dental Research Institute Yangsan 50610, Republic of Korea.

Am J Cancer Res ; 12(12): 5631-5645, 2022.

Article em En | MEDLINE | ID: mdl-36628273

Palavras-chave

Deep learning; cancer classification; class activation map; gene expression; transcription factor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Am J Cancer Res Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos

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