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对生物信息学统计贡献的回应:设计、建模、结构学习与整合

Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration.

作者信息

Morris Jeffrey S, Baladandayuthapani Veerabhadran

机构信息

Department of Biostatistics, UT MD Anderson Cancer Center, Houston, Texas, USA.

出版信息

Stat Modelling. 2017 Aug;17(4-5):338-357. doi: 10.1177/1471082X17728576. Epub 2017 Sep 12.

Abstract

We thank the discussants for their kind comments and their insightful analysis and discussion that has substantially added to the contribution of this issue. Overall, it seems the discussants have affirmed many of our primary points, and have also raised a number of other relevant and important issues that we did not emphasize in the paper. Several common threads emerged from these discussions, including the importance of software development, appropriate dissemination, and close collaboration with biomedical scientists and technology experts in order to ensure our work is relevant and impactful. Each discussant also mentioned other areas of bioinformatics that have been impacted by statistical researchers that we did not highlight in the original paper. In response, we will first summarize discuss these general themes, and then respond to specific comments of each discussant, and finally talk about the additional areas of bioinformatics impacted by statisticians that were mentioned by the reviewers.

摘要

我们感谢各位讨论者的友好评论以及富有洞察力的分析和讨论,这些评论和讨论极大地丰富了本期内容的价值。总体而言,讨论者似乎肯定了我们的许多主要观点,同时也提出了一些我们在论文中未着重强调的其他相关且重要的问题。这些讨论中出现了几个共同的主题,包括软件开发的重要性、适当的传播,以及与生物医学科学家和技术专家密切合作,以确保我们的工作具有相关性和影响力。每位讨论者还提到了生物信息学的其他领域,这些领域受到了统计研究人员的影响,而我们在原论文中并未突出强调。作为回应,我们将首先总结讨论这些总体主题,然后回应每位讨论者的具体评论,最后谈谈审稿人提到的受统计学家影响的生物信息学其他领域。

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