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Check out our now published investigation into how experimental design and analysis choices can affect downstream results when analyzing imaging-based spatial transcriptomics data. rdcu.be/dKFby
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Lyla Atta
49 posts

@lylaatta
MD-PhD Candidate @JHUBME. spatial transcriptomics at https://t.co/S5zk0oAaQ1. she/her





We've updated our #bioRxiv preprint investigating the potential impact of #geneexpression normalization methods with different gene panels in analysis + interpretation of #singlecell imaging-based targeted #spatialtranscriptomics data. Check it out: biorxiv.org/content/10.110… 🧵1/n





How should we normalize #singlecell #geneexpression counts from imaging-based #spatialtranscriptomics? We kept getting asked this so we wrote a paper about it! #bioRxiv preprint: biorxiv.org/content/10.110… Led by @lylaatta w/ @kalen_clifton + @manjari_017 #AcademicTwitter 🧵1/n



