Small methodsDeep LearningQuality ControlTranscriptomeRNAGene Expression Profiling
Deep Learning-Based Quality Control Using Subcellular RNA Spatial Distribution Patterns for Cell Segmentation in Spatial Transcriptomics Data.
Renpeng Ding, Kerem Celikay, Ming Ni, Yong Hou, Yan Zhou, Karl Rohr
Published: 202610.1002/smtd.202500885
Abstract
Sequencing-based spatial transcriptomics (sST) techniques with high resolution enable transcriptome-wide RNA capture at subcellular resolution. Although new cell segmentation methods for sST data are continually being developed, accurately assigning…
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