Jieran Sun

The paper introduces SACCELERATOR, a framework for spatially aware clustering that improves benchmarking by incorporating expert feedback and consensus analysis across diverse datasets.

The paper predicts transcription factor binding across 43 human cell types using ATAC-seq data and a new platform, revealing promiscuous occupancy and chromatin contacts.

The paper provides an open-source online book for analyzing spatial transcriptomics data using Bioconductor in R, with reproducible code and datasets.

This paper integrates 36 single-cell transcriptomics datasets from human neural organoids into a unified atlas to assess cell type coverage and compare organoid protocols with primary brain tissue.