4i dataset for "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"

Name: 4i dataset for "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"
Creator: EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Australia; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; Institute of Computational Biology, Helmholtz Center Munich, Germany
Published: 2022-11-07T00:00:00+08:00

Zenodo2022-11-07 更新2026-04-07 收录

亚细胞蛋白质定位

多重成像量化分析

数据链接：

https://zenodo.org/record/7299515 数据链接链接失效反馈

官方服务：

资源简介：

4i dataset described and analysed in "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps" (biorxiv). Analysis of this dataset was done with CAMPA. The data is in CAMPA-readable format; for more information on the data format, see the CAMPA documentation . The data contains preprocessed wells of 184A1 and HeLa cells with different chemical treatments and 43 channels. For more information on the data, see the CAMPA reproducibility repository.

提供机构：

EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Australia; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; Institute of Computational Biology, Helmholtz Center Munich, Germany

创建时间：

2022-11-07