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sc_pretrained
TillR/sc_pretrained
sc_pretrained is a machine learning model from TillR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pre-trained single-cell genomics models based on: - BarlowTwins - Bootstrap Your Own Latent - Masked Autoencoder
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Public
Updated Aug 22, 2024
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5.4 GB
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.ckpt5.4 GB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 22, 2024
- SHA
- 003fc504
Model card
From the Hugging Face model README
Pre-trained single-cell genomics models based on:
- BarlowTwins
- Bootstrap Your Own Latent
- Masked Autoencoder
- Gene-Program Masked Autoencoder
Finetuned models for the downstream tasks of:
- Cell Type Prediction
- Gene Expression Reconstruction
- Cross-Modality Prediction (RNA->Proteomics)
- Data Integration
Training details and adaptations to single-cell data in our project can be found in our paper below. To use the model directly, the same genes must be used in the same order as in the var.parquet file. Otherwise, follow the instructions from the repositories below to train a model for custom datasets.
If you find our work useful, please cite the following paper:
Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics
See also:
- License
- mit
- Created
- Aug 6, 2024
- Updated
- Aug 22, 2024