Palantir

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UID: 11416

Author(s): Otto, Dominik J., Setty, Manu*, Mousa, Awni, Dien, Christine, Angerer, Philipp, Virshup, Isaac, Büttner, Maren, Land, Max*, Sikkema, Lisa*, Moorman, Andrew* * MSK affiliated

Description: Description from Github:

"Palantir is an algorithm to align cells along differentiation trajectories. Palantir models differentiation as a stochastic process where stem cells differentiate to terminally differentiated cells by a series of steps through a low dimensional phenotypic manifold. Palantir effectively captures the continuity in cell states and the stochasticity in cell fate determination. Palantir has been designed to work with multidimensional single cell data from diverse technologies such as Mass cytometry and single cell RNA-seq."

Subject(s)

Access via GitHub

Access via CodeOcean
Access Restrictions: Free to All
Access Instructions: Available for download via GitHub under a GPL-2.0 License
Associated Publications: Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe'er D. Characterization of cell fate probabilities in single-cell data with Palantir. Nature Biotechnology. 2019; 37(4):451-460.
Software Used: Python3
https://www.python.org/downloads/
Dataset Format(s): gzip, H5AD, PY, RST, IPYNB
Dataset Size: 36.9 MB

Data Catalog Record Updated: 2024-11-12

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