Weijia Jin

Reference-Informed Spatial Domain Detection Using Weak Supervision for Spatial Transcriptomics

This paper introduces GraphScrDom, a contrastive learning model for spatial domain detection in spatial transcriptomics using weak supervision and reference data, showing strong performance across platforms and resolutions.

BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell data

BayesCNet improves inference of cell type-specific regulatory networks by leveraging cell type hierarchy, outperforming existing methods, especially for rare cell types.

In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder

The paper introduces MpraVAE, a deep generative model that generates and augments regulatory variant data from MPRA, improving prediction performance for regulatory variants in autoimmune diseases.

MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants

MPRAVarDB provides a database and web server to explore the regulatory effects of genetic variants using MPRA data across multiple cell lines and diseases.