Detecting Data Embedding Spatial Patterns and Identifying Biomarkers with BioRSP
Zeyu Yao,
Jake Y. Chen
Abstract:MotivationHigh-dimensional data embedding has become an essential tool in bioinformatics, particularly for single-cell data analysis, as it aids in characterizing cells with complex gene expression patterns based on projected low-dimensional data point spatial distributions. However, traditional methods often fall short in distinguishing subtle changes within cell populations. To address this, we developed BioRSP (BiologicalRadarScanningPlots), an innovative open-source software designed to enhance the charact… Show more
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