Views provided by UsageCounts
Phenotypic deconvolution in heterogeneous cancer cell populations using drug screen data. Matlab implementation of the method described in https://www.biorxiv.org/content/10.1101/2022.01.17.476604v2. Also includes the necessary code and data to reproduce the results and figures in the publication. Latest version available on Github at: https://github.com/ocbe-uio/PhenoPop. A Python package of the method is available at https://github.com/ocbe-uio/pyPhenoPop.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 |

Views provided by UsageCounts