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5 years ago, I proposed using #DeepLearning to predict response to immunotherapy in TCR-Seq.
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Last year, we published #DeepTCR. Today, I am proud to share its application in cancer immunology, now out in @ScienceAdvances #ScienceResearch
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science.org/doi/10.1126/scβ¦
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Last year, we published #DeepTCR. Today, I am proud to share its application in cancer immunology, now out in @ScienceAdvances #ScienceResearch
πΆπ·πΆπ·
science.org/doi/10.1126/scβ¦
This project started with a hypothesis that if a specific antigen-specific response was characteristic of responses to immunotherapy, then this should be reflected in the TCR repertoire/sequences.
After all, the TCR repertoire is ground truth for the antigen-specific response.
After all, the TCR repertoire is ground truth for the antigen-specific response.
First, we expand the #DeepTCR framework by allowing featurization of the TCR in context of the HLA background it is found within, overcoming the challenge in making direct comparisons of TCR repertoire in HLA mismatched individuals. 
