Published May 30, 2024 | Version v1
Model Open

The trained models of "CellContrast: Reconstructing Spatial Relationships in Single-Cell RNA Sequencing Data via Deep Contrastive Learning"

Description

  • 10X_visium_human_breast_epoch_3000.pt: the trained model with a 10X Visium human breast sample. 
  • MERSCOPE_epoch_3000.pt: the trained model with a MERSCOPE mouse brain sample.
  • 10X_visium_human_lung_epoch_3000.pt: the trained model with a 10X Visium human lung sample.
  • SeqFISH_mouse_embryo_E8.5_epoch_3000.pt: the trained model with a SeqFISH mouse embryo sample (E1L1).
  • SeqFISH_mouse_embryo_E8.5_multiple_ST_epoch_3000.pt: the trained model with 3 SeqFISH mouse embryo samples (L1 of E1,2,3),
  • StereoSeq_mouse_embryo_E9.5_epoch_3000.pt: the trained model with a StereoSeq mouse embryo sample.

 

Files

Files (444.3 MB)

Name Size Download all
md5:0a1ff6c0b79a60de79e40ead7ef2caaa
305.5 MB Download
md5:baa710b073df759a3cc821a15bdd3988
102.6 MB Download
md5:ad8ab6f18ff63a6cfdc7cfddf2923b4d
10.9 MB Download
md5:e3405134359a5cfd2fd88d3d2df5280a
8.4 MB Download
md5:158c422e43a7b5117955ec394a160fbe
8.4 MB Download
md5:728c403a8c7dfd8aea49fd136b6d6cf5
8.4 MB Download

Additional details

Software

Repository URL
https://github.com/HKU-BAL/CellContrast/
Programming language
Python
Development Status
Active