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Mitigating Bias in Spatial Transcriptomic Pipelines via Human Feedback

2026-01-16

Abstract excerpt

Biological discovery from experimental data, particularly large-scale assays, requires extensive preprocessing, during which raw outputs (e.g., images, sequences) are processed into structured forms that are more amenable to analysis. While statistical methods for such processed data are at the core of computational biology, the problem of coping with uncertainties introduced during preprocessing is a significant...

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Literature Corpus work
54149b7c-458d-5710-bb65-648f9cca9473
DOI
10.64898/2026.01.15.699786
Open publication

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Mitigating Bias in Spatial Transcriptomic Pipelines via Human FeedbackDOI 10.64898/2026.01.15.699786
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