cytominer
Methods for Image-Based Cell Profiling
Typical morphological profiling datasets have millions of cells and hundreds of features per cell. When working with this data, you must clean the data, normalize the features to make them comparable across experiments, transform the features, select features based on their quality, and aggregate the single-cell data, if needed. 'cytominer' makes these steps fast and easy. Methods used in practice in the field are discussed in Caicedo (2017) doi:10.1038/nmeth.4397. An overview of the field is presented in Caicedo (2016) doi:10.1016/j.copbio.2016.04.003.
- Version0.2.2
- R version≥ 3.3.0
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- Last release05/09/2020
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Team
Shantanu Singh
Tim Becker
Show author detailsRolesAuthorAllen Goodman
Show author detailsRolesAuthorClaire McQuin
Show author detailsRolesAuthorMohammad Rohban
Show author detailsRolesAuthor
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- Imports11 packages
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