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10701 final project - single cell classification base on its gene expression profile
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models
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README.md
auto_encoder.py
decision_tree.py
example.py
models_ensemble.py
pca_rbf_svm.py
results.xlsx

README.md

Single Cell Classification

We designed an algorithm combining PCA, SVM and ensemble methods to predict cell type out of its scRNA-seq gene expression profile with an accuracy of 53.5%.

For more details, see the project website.

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