This package implements PhenoGraph analytical pipeline with Jupyter Notebook initially proposed by Levine et al.
@article{Levine_PhenoGraph_2015,
doi = {10.1016/j.cell.2015.05.047},
url = {http://dx.doi.org/10.1016/j.cell.2015.05.047},
year = {2015},
month = {jul},
publisher = {Elsevier {BV}},
volume = {162},
number = {1},
pages = {184--197},
author = {Jacob H. Levine and Erin F. Simonds and Sean C. Bendall and Kara L. Davis and El-ad D. Amir and Michelle D. Tadmor and Oren Litvin and Harris G. Fienberg and Astraea Jager and Eli R. Zunder and Rachel Finck and Amanda L. Gedman and Ina Radtke and James R. Downing and Dana Pe'er and Garry P. Nolan},
title = {Data-Driven Phenotypic Dissection of {AML} Reveals Progenitor-like Cells that Correlate with Prognosis},
journal = {Cell}
}
- "PhenoGraph for Python3"
- Anaconda3 packages: matplotlib, seaborn, scipy.stats, and so forth
- Flowtoolw
- lifelines