Update README.md

README.md

@@ -19,7 +19,7 @@ tags:
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-An SCVI model and minified AnnData of the Tahoe-100M dataset from Vevo Tx.
+An SCVI model and minified AnnData of the [Tahoe-100M](https://doi.org/10.1101/2025.02.20.639398) dataset from Vevo Tx.
 
 ## Model Details
 
@@ -152,7 +152,9 @@ BARCODE_SUB_LIB_ID
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-Tahoe-100M (to be described)
+Tahoe-100M
+
+Zhang, Jesse, Airol A. Ubas, Richard de Borja, Valentine Svensson, Nicole Thomas, Neha Thakar, Ian Lai, et al. 2025. “Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling.” bioRxiv. https://doi.org/10.1101/2025.02.20.639398.
 
 ### Training Procedure
 
@@ -187,57 +189,3 @@ Data in the minified AnnData where the 'plate' column equals '14' was held out f
 
 The main metric is reconstruction error, defined as the average negative log likelihood of the observed counts given the representation vectors. This model uses a negative binomial likelihood.
 
-### Results
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-#### Summary
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-### Model Architecture and Objective
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-### Compute Infrastructure
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-#### Hardware
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-#### Software
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-## Citation [optional]
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-**BibTeX:**
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-**APA:**
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-## More Information [optional]
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-## Model Card Authors [optional]
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