4 Result(s)
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Jiaqiang Zhu
Human Genetics
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Article
Open AccessSRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics
Spatially resolved transcriptomics (SRT)-specific computational methods are often developed, tested, validated, and evaluated in silico using simulated data. Unfortunately, existing simulated SRT data are ofte...
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Article
Open AccessModeling zero inflation is not necessary for spatial transcriptomics
Spatial transcriptomics are a set of new technologies that profile gene expression on tissues with spatial localization information. With technological advances, recent spatial transcriptomics data are often i...
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Article
Open AccessSPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Spatial transcriptomic studies are becoming increasingly common and large, posing important statistical and computational challenges for many analytic tasks. Here, we present SPARK-X, a non-parametric method f...
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Article
Open AccessAccuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
Dimensionality reduction is an indispensable analytic component for many areas of single-cell RNA sequencing (scRNA-seq) data analysis. Proper dimensionality reduction can allow for effective noise removal and...
