Chic

Yifan Gong, Baochun Li, B. Liang, Zheng Zhan
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引用次数: 7

Abstract

The impressive rate of the generation of human biological data during the last decades has dictated the development of numerous statistical, computational and mathematical methods in order to extract, analyze and exploit the hidden wealth of information. Unquestionably systems biology has been established as a key player in this arena. Nevertheless, in order for models generally developed by different modelers or modeling groups to be reusable, there are a number of prerequisites that have to be satisfied. Models should be robust, reproducible and interoperable. This implies that standardization of model description and operation is a sine qua non if rational, coherent and comprehensive exploitation of the invaluable information hidden within human multiscale biological data is envisaged. CHIC is therefore motivated to responding to this imperative in the context of both the broad (VPH) initiative and the paradigmatic cancer domain, In order to ensure clinical relevance and foster clinical acceptance of hypermodeling in the future, the whole endeavor will be driven by the clinical partners of the consortium in practice. Cancer hypermodels to be collaboratively developed by the consortium cancer modelers will provide the framework and the testbed for the development of the CHIC technologies. Clinical adaptation and partial clinical validation of hypermodels and hypermodel oncosimulators will be undertaken.
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在过去几十年中,人类生物数据产生的惊人速度决定了许多统计、计算和数学方法的发展,以便提取、分析和利用隐藏的信息财富。毫无疑问,系统生物学已经成为这一领域的关键角色。然而,为了使通常由不同建模者或建模组开发的模型可重用,必须满足许多先决条件。模型应该是健壮的、可复制的和可互操作的。这意味着,如果设想对隐藏在人类多尺度生物数据中的宝贵信息进行合理、连贯和全面的利用,模型描述和操作的标准化是必不可少的。因此,在广泛的(VPH)倡议和范式癌症领域的背景下,CHIC积极响应这一势在必行的要求,为了确保临床相关性并促进未来超建模的临床接受,整个努力将由联盟的临床合作伙伴在实践中推动。由癌症建模者联盟合作开发的癌症超模型将为开发CHIC技术提供框架和测试平台。将进行超模和超模肿瘤模拟器的临床适应和部分临床验证。
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