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CoSTA

Manuscript

CoSTA: Unsupervised Convolutional Neural Network Learning for Spatial Transcriptomics Analysis

CoSTA is an analysis approach for understanding spatial gene relationship of spatial transcriptomics.

Please look at offical CoSTA github at https://github.com/rpmccordlab/CoSTA

Usage

To reproduce results in Manuscript, please follow instruction in notebook tutorial under the foder of "CoSTA".

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|----Analyzing_Slide-seq_via_CoSTA.ipynb

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|----Analyzing_MERFISH_via_CoSTA.ipynb

Other analyses

Analysis about comparison with SPARK and SpatialDE is in the folder of "analysis"

Requirements

  • NumPy
  • SciPy
  • Pandas
  • Scikit-learn
  • NaiveDE
  • Pytorch

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CoSTA: unsupervised ConvNet learning strategy for spatial transcriptomics analysis

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