PHATE | based Transition Embedding ) is a tool | Machine Learning library
kandi X-RAY | PHATE Summary
kandi X-RAY | PHATE Summary
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. PHATE has been implemented in Python >=3.5, MATLAB and R.
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Top functions reviewed by kandi - BETA
- Plot 3D scatter plot
- Set embedding parameters
- Get plot data
- Check parameters
- Scatter plot
- Rotate a scatter plot
- Reset MDs
- Deprecated
- Calculate the diff potential
PHATE Key Features
PHATE Examples and Code Snippets
Community Discussions
Trending Discussions on PHATE
QUESTION
I am new to .NET and trying to achieve what shape-json does in the Node world.
Copied from the shape-json npm page:
Given the following array of objects:
...ANSWER
Answered 2019-Oct-18 at 01:58MySqlDataReader
implements the IDataReader
interface, so we can use a LINQ lambda expression to iterate through its rows and transform them into an appropriate .Net data model. Then afterwards the data model can be serialized to JSON using json.net.
First, grab the following extension method from this answer by Joel Coehoorn:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PHATE
Guided tutorial in Python
Guided turorial in R
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