Cancer Genomics and Bioinformatics Unit, IIGM-Italian Institute for Genomic Medicine, c/o IRCCS, Str. Prov.le 142, km 3.95, 10060 Candiolo, TO, Italy.
Candiolo Cancer Institute, FPO-IRCCS, Str. Prov.le 142, km 3.95, 10060 Candiolo, TO, Italy.
Int J Mol Sci. 2021 Apr 27;22(9):4563. doi: 10.3390/ijms22094563.
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.
人工智能，或开发能够执行需要人类智能的计算算法的学科，为改善我们的精准医疗理念和实践提供了机会。在这里，我们概述了人工智能方法在癌症大规模 RNA 测序数据集分析中的应用。我们提出了主要的解决方案，以解卷积转录组图谱的肿瘤内和肿瘤间异质性，从而有效改善患者管理。我们概述了学习算法对癌症基因组学需求的贡献，从识别罕见的癌症亚型到个性化治疗。
