Deep Learning for Single Cell Analysis

Project Summary

This is a project under Duke Data+ 2018. The project is to process single cell RNA sequencing data and use the Python programming language and TensorFlow to characterize lung stem cells involved in wound healing.

Name		Name	Last commit message	Last commit date
Latest commit History 69 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
Discussion		Discussion
Machine_Learning_folder		Machine_Learning_folder
Poster		Poster
Progress		Progress
Website		Website
__pycache__		__pycache__
data		data
model		model
process_images		process_images
.DS_Store		.DS_Store
Myoepithelial Cells of Submucosal Glands Can Function as Reserve Stem Cells to Regenerate Airways after Injury.pdf		Myoepithelial Cells of Submucosal Glands Can Function as Reserve Stem Cells to Regenerate Airways after Injury.pdf
PCA.py		PCA.py
PCA_branch.ipynb		PCA_branch.ipynb
README.md		README.md
Tsne-Kmeans_Airway.png		Tsne-Kmeans_Airway.png
__init__.py		__init__.py
attach_label.py		attach_label.py
autoencoder.py		autoencoder.py
cluster.py		cluster.py
data_helper.py		data_helper.py
geneValue1.png		geneValue1.png
geneValue2.png		geneValue2.png
plot.py		plot.py
trial.py		trial.py

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