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@@ -5,6 +5,8 @@ datasets:
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  - Lab-Rasool/TCGA
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  language:
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  - en
 
 
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  ---
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@@ -35,6 +37,4 @@ lines of that organ were included in the training data:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/682104f2d8f567e2d91ca7f0/_xRlxmJ2xv9Ih4HcbCWWY.png)
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- We found that Transcriptformer (a zero-shot model) does well on held out cell lines, also for fully held-out organs (perhaps it has seen similar training data or has generalized well). In contrast to this, the other models did not show significant improvements over the simple baseline.
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  - Lab-Rasool/TCGA
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  language:
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  - en
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+ tags:
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+ - tahoe-deepdive
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  ---
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/682104f2d8f567e2d91ca7f0/_xRlxmJ2xv9Ih4HcbCWWY.png)
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+ We found that Transcriptformer (a zero-shot model) does well on held out cell lines, also for fully held-out organs (perhaps it has seen similar training data or has generalized well). In contrast to this, the other models did not show significant improvements over the simple baseline.