MAGIC

Data Imputer

An algorithm for denoising high-dimensional biological data by learning the manifold structure of the data using graph imputation

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

GitHub

347 stars
22 watching
96 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
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