Data Science

PI：Martin Deschênes、Yoav Freund、大卫Golomb、大卫克莱菲尔德（负责）、王凡 ! 核心3。摘要 数据科学核心 数据科学核心的作用是维护数字数据，并将所有实验结果与之链接， 所有参与者的派生信息（元数据）。可训练的基于纹理的数字地图集的材料是一个 这一努力的主要部分。维护分析工作流程，用于定位组织学堆栈和映射 实验结果与atlas坐标的关系。核心还用于传播原始数据和Meta数据， 在接受出版物时，所有研究的相关软件。

PIs: Martin Deschênes, Yoav Freund, David Golomb, David Kleinfeld (lead), Fan Wang ! Core 3. Abstract Data Science Core The role of the Data Science Core is to maintain the digital data and to link to it all experimental results and derived information (meta-data) from all participants. Material for the Trainable Texture-based Digital Atlas is a major part of this effort. An analysis workflow is maintained that serves to localize histology stacks and map experimental results to atlas coordinates. The Core also serves to disseminate the raw and meta data and all associated software from all studies at the time of acceptance of publications.