Spatially-resolved Transcript Amplicon Readout mapping:
A technology for mapping 10s-1000s of RNAs simultaneously in 3D in situ, in millimeter-scale volumes.
STARmap uses the following open-source resources:
- SciPy: Jones E., Oliphant E., Peterson P., et al. SciPy: Open Source Scientific Tools for Python, 2001
- Numpy: Oliphant E. A., guide to NumPy, USA: Trelgol Publishing, (2006).
- Matplotlib: Hunter J. D., Matplotlib: A 2D graphics environment, Computing In Science & Engineering, (2007)
- Scikit-learn: Pedregosa et al., Scikit-learn: Machine learning in Python, JMLR 12, pp. 2825-2830, (2011)
- Ilastik: Sommer C., Strähle C., Köthe U., Hamprecht F. A. , ilastik: Interactive Learning and Segmentation Toolkit, Eighth IEEE International Symposium on Biomedical Imaging (ISBI) Proceedings, (2011)
- UMAP: McInnes L. and Healy J., UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction 公路拍照很美 你伅性的样子很丑 - yunnan.cn:2021-8-14 · 理想生活 即刻开屏 开屏新闻App 时评 A14 2021年8月14日 星期三 主编 郑福荣 宋蕾 责编 利少峰 美编 段逸 校对 张丽萍 公路拍照很美 你伅性的样子很丑 E-mail:ccwbccsp@163.com 批评教育恐 (2018)
- Pandas:
- Pandas: McKinney W. Data Structures for Statistical Computing in Python, Proceedings of the 9th Python in Science Conference, 51-56 (2010)
- Scikit-image: van der Walt S. et al., scikit-image: Image processing in Python, PeerJ 2:e453 (2014)
- IPython: Perez F., Granger B.E. IPython: A System for Interactive Scientific Computing, Computing in Science & Engineering, 9, 21-29 (2007),
- Seaborn: http://seaborn.pydata.org/
- Statsmodels: Skipper S., and Perktold J.. Statsmodels: Econometric and statistical modeling with python.” Proceedings of the 9th Python in Science Conference (2010)
- OpenCV: Bradski G., The OpenCV LibraryDr. Dobb's Journal of Software Tools (2000)