论文标题
自动脑部拟化和可视化r的可视化和可视化
Automated brain parcellation rendering and visualization in R with coldcuts
论文作者
论文摘要
分析是神经解剖学的基本工具，使研究人员能够将功能成像和分子数据放在大脑的结构环境中。可视化这些划线对于指导人类和模型生物中的临床和实验数据集的生物学理解至关重要。但是，用于可视化分析的软件与用于分析这些数据集的软件不同，极大地限制了分析中实验数据的可视化。我们提出ColdCuts，这是一种开源R软件包，允许自动生成，存储和可视化任何基于音量的分析，并使用最小的手动策划。 Coldcuts允许集成外部数据集并提供丰富的2D和3D可视化。 ColdCuts可在http://github.com/langleylab/coldcuts上免费获得，并且在https://github.com/langleylab/coldlelab/coldcuts_sementations中可以为人类，鼠标，鼠标，黑猩猩和果蝇parcepations提供几个精选的冷藏物体。
Parcellations are fundamental tools in neuroanatomy, allowing researchers to place functional imaging and molecular data within a structural context in the brain. Visualizing these parcellations is critical to guide biological understanding of clinical and experimental datasets in humans and model organisms. However, software used to visualize parcellations is different from the one used to analyze these datasets, greatly limiting the visualization of experimental data within parcellations. We present coldcuts, an open source R package that allows to automatically generate, store and visualize any volume-based parcellation easily and with minimal manual curation. coldcuts allows to integrate external datasets and offers rich 2D and 3D visualizations. coldcuts is freely available at http://github.com/langleylab/coldcuts and several curated coldcuts objects are made available for human, mouse, chimpanzee and Drosophila parcellations at https://github.com/langleylab/coldcuts_segmentations.
