Deep learning-based transcriptome model predicts survival of T-cell acute lymphoblastic leukemia

Identifying subgroups of T-cell acute lymphoblastic leukemia (T-ALL) with poor survival will significantly influence patient treatment options and improve patient survival expectations. Current efforts to predict T-ALL survival expectations in multiple patient cohorts are lacking. A deep learning (D...

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Detalles Bibliográficos
Autores principales: Zhang, Lenghe, Zhou, Lijuan, Wang, Yulian, Li, Chao, Liao, Pengjun, Zhong, Liye, Geng, Suxia, Lai, Peilong, Du, Xin, Weng, Jianyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666679/
https://www.ncbi.nlm.nih.gov/pubmed/36408189
http://dx.doi.org/10.3389/fonc.2022.1057153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666679/
https://www.ncbi.nlm.nih.gov/pubmed/36408189
http://dx.doi.org/10.3389/fonc.2022.1057153

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