A Systems Survey of Progressive Host-Cell Reorganization during Rotavirus Infection
收藏DataCite Commons2020-08-26 更新2024-07-28 收录
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https://figshare.com/articles/A_Systems_Survey_of_Progressive_Host-Cell_Reorganization_during_Rotavirus_Infection/11616831
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Single cell data extracted from a genome-wide siRNA screen of HCT116 colon cancer cells. Extracted features quantify nuclear and rotavirus infection phenotypes based on DAPI and Viral Protein 6 markers. These include nuclear and cell shape, texture values, intensity values and infection values.<br>Example script for retrieving measurements from this dataset in MatLab<br>% To get the list of available data namesstrFilePath = 'HDF_SingleCell.hdf';<br>hinfo= hdf5info(strFilePath)hinfo.GroupHierarchy.Groups.Name<br>% A dataset is available for each well. Plate number character 3-4,% plate replicate character 7, followed by the row and column numberwellName = 'T810r2iR11C16';<br>% Read specific dataseth5read(strFilePath,strcat('/', wellName, '/matCompleteData'))<br>% Get feature names: 168 features are available for each single cellallfeatures = h5read(stFilePath,'/ProbModelData/strFinalFieldName');<br>
提供机构：
figshare
创建时间：
2020-01-24
