Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.
Int J Mol Sci
; 22(9)2021 Apr 27.
Article
em En
| MEDLINE
| ID: mdl-33925407
ABSTRACT
Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the opportunity to improve our idea and delivery of precision medicine. Here, we provide an overview of artificial intelligence approaches for the analysis of large-scale RNA-sequencing datasets in cancer. We present the major solutions to disentangle inter- and intra-tumor heterogeneity of transcriptome profiles for an effective improvement of patient management. We outline the contributions of learning algorithms to the needs of cancer genomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
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Análise de Sequência de RNA
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Análise de Célula Única
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Neoplasias
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Int J Mol Sci
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Itália