{"repo":"KrishnaswamyLab/PHATE","free":true,"listed":false,"github":"https://github.com/KrishnaswamyLab/PHATE","clone":"git clone https://github.com/KrishnaswamyLab/PHATE.git","description":"PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.","language":"Python","stars":559,"topics":["single-cell","dimensionality-reduction","data-visualization","unsupervised-learning","manifold-learning"],"license":null,"category":"analytics","readme_excerpt":"PHATE - Visualizing Transitions and Structure for Biological Data Exploration --------------------------------------------------------------------------- Quick Start If you would like to get started using PHATE, check out the following tutorials. Guided tutorial in Python Guided turorial in R Introduction PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding) is a tool for visualizing high dimensional data. PHATE uses a novel conceptual framework for learning and visualizing the manifold to preserve both local and global distances. To see how PHATE can be applied to datasets such as facial images and single-cell data from human embryonic stem cells, check out our publication in Nature Biotechnology. Moon, van Dijk, Wang, Gigante et al. Visualizing Transitions and Structure for Biological Data Exploration . 2019. Nature Biotechnology . PHATE has been implemented in Python =3.5, MATLAB and R. Table of Contents System Requirements Python Installation with pip Installation from source Quick Start Tutorial and Reference MATLAB Installation Tutorial and Reference R Installation from CRAN and PyPi Installation with devtools and reticulate Installation from source Quick Start Tutorial and Reference Help System Requirements Windows ( = 7), Mac OS X ( = 10.8) or Linux Python = 3.5 or MATLAB ( = 2015a) All other software dependencies are installed automatically when installing PHATE. Python Installation with pip The Python version of PHATE can be installed by runnin","default_branch":null,"files":null,"tree":[],"storefront":"/r/KrishnaswamyLab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/KrishnaswamyLab/PHATE/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}