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Robert Amezquita talking about translational medicine and the role of computational biology at @fredhutch . #cascadiaRconf
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#TeamScience is so important to finding solutions and therapies. Break down barriers and do integrated science. #cascadiarconf
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Single cell genomics to understand immune response and make sense of heterogeneity. Uncover rare cell subsets, such as antigen specific cells. Approach is less biased, still get interesting signal. #cascadiaRconf
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Multimodal assays important for treatment. Multiple myeloma- profile B cells. CAR-T important for robust responses in patients. Track immune response with single cell approaches. #cascadiaRconf
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Understanding immunological factors to explain tumor recurrence. Use of data reduction techniques such as UMAP to identify cell subsets associated with metastasis. #cascadiaRconf
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Loss of TNFRSF17 on cancer cells responsible for immune system evasion and associated with tumor recurrence. Antigen presenting genes important as well. #cascadiaRconf
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#rstats is so important in solving these issues, especially #bioconductor. Single cell analysis tools becoming really robust. #cascadiarconf
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Bioconductor data structures very important for success. S4 classes drive this. #cascadiarconf
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[editorial comment: if you want to learn more about S4, look at our (@sckottie and me) talk about object oriented programming in R: github.com/laderast/oop_talk] #cascadiarconf
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How can you get involved? Help with single cell book, join @fredhutch (lots of positions!) #cascadiaRconf
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His twitter handle: @robamezquita