Data Science

PIS：马丁·德谢恩斯，约夫·弗洛因德，大卫·戈罗姆，大卫·克莱因菲尔德(领衔)，王帆 好了！ 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和 来自所有参与者的派生信息(元数据)。基于纹理的可训练数字地图集的材料是 这一努力的主要部分。维护用于本地化组织学堆栈和地图的分析工作流 实验结果到地图集坐标。核心还用于传播原始和元数据以及所有 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.