Flow2Spatial is the computational part of PLATO (parallel flow projection and transfer learning across omics data).
It aims to reconstruct spatial proteomics from the values of parallel-flow projections in PLATO. Leveraging transfer learning, Flow2Spatial can restore fine structure of protein spatial distribution in different tissue types.
Overview of Flow2Spatial.
"torch", "shapely", "scikit-image", "cvxpy",
"anndata", "scipy", "numpy", "pandas"
Further tutorials please refer to https://Flow2Spatial.readthedocs.io/.
Beiyu Hu, Ruiqiao He, Kun Pang, Guibin Wang, Ning Wang, Tianxin Liu, Junjie Zhu, Zewen Jiang, Wenzhuo Zhu, Yongxi Huang, Jinyang Zhang, Zhenqiang Zuo, Peifeng Ji, & Fangqing Zhao (2023). High-resolution spatially resolved proteomics of complex tissues based on microfluidics and transfer learning.