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Editorial: Artificial Intelligence (AI) Optimized Systems Modeling for the Deeper Understanding of Human Cancers.

作者信息

Ji Zhiwei, Tao Shu, Wang Bing

机构信息

College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.

University of Texas Health Science Center at Houston, Houston, TX, United States.

出版信息

Front Bioeng Biotechnol. 2021 Oct 11;9:756314. doi: 10.3389/fbioe.2021.756314. eCollection 2021.

DOI:10.3389/fbioe.2021.756314
PMID:34708028
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8542901/
Abstract
摘要

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本文引用的文献

1
Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis.癌症研究中的多组学方法及其在肿瘤亚型分类、预后和诊断中的应用。
Comput Struct Biotechnol J. 2021 Jan 22;19:949-960. doi: 10.1016/j.csbj.2021.01.009. eCollection 2021.
2
Systems Biology and Experimental Model Systems of Cancer.癌症的系统生物学与实验模型系统
J Pers Med. 2020 Oct 19;10(4):180. doi: 10.3390/jpm10040180.
3
Interpreting pathways to discover cancer driver genes with Moonlight.用 Moonlight 解析通路以发现癌症驱动基因。
Nat Commun. 2020 Jan 3;11(1):69. doi: 10.1038/s41467-019-13803-0.
4
From Genotype to Phenotype: Augmenting Deep Learning with Networks and Systems Biology.从基因型到表型：利用网络和系统生物学增强深度学习
Curr Opin Syst Biol. 2019 Jun;15:68-73. doi: 10.1016/j.coisb.2019.04.001. Epub 2019 Apr 4.
5
Systems Biology of Cancer Metastasis.癌症转移的系统生物学。
Cell Syst. 2019 Aug 28;9(2):109-127. doi: 10.1016/j.cels.2019.07.003.
6
Opportunities and obstacles for deep learning in biology and medicine.深度学习在生物学和医学中的机遇与挑战。
J R Soc Interface. 2018 Apr;15(141). doi: 10.1098/rsif.2017.0387.
7
How computational models can help unlock biological systems.计算模型如何助力解开生物系统之谜。
Semin Cell Dev Biol. 2015 Dec;47-48:62-73. doi: 10.1016/j.semcdb.2015.07.001. Epub 2015 Jul 9.
8
Complexity in cancer biology: is systems biology the answer?癌症生物学中的复杂性：系统生物学是答案吗？
Cancer Med. 2013 Apr;2(2):164-77. doi: 10.1002/cam4.62. Epub 2013 Feb 17.