Homepage of BioX Lab at Nankai University.

A comprehensive DNA methylation database for aging biology

Rigorous integration of single-cell ATAC-seq data using regularized barycentric mapping

Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning

Facilitating single-cell chromatin accessibility research with a user-friendly database

A mutual information-based interpretable framework for automatic cell type annotation in single-cell chromatin accessibility data

An interpretable ensemble framework for automatic cell type annotation in single-cell chromatin accessibility data

Backdoor attacks in single-cell pretrained models

MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov-Arnold network and data augmentation

Identification of cell type-specific differential features in single-cell and spatial omics data

A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

A reference-guided cancer cell identification method based on Bayesian neural networks

Source codes for the reproduction of scButterfly

Memory- and time-efficient identification of metacells for atlas-level single-cell chromatin accessibility data

Accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data

Accurate cell type annotation for single-cell chromatin accessibility data via contrastive learning and reference guidance

Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-cell Chromatin Accessibility Data

scalable identification of spatially variable genes for deciphering spatial domains

The reproducibility of ASTER

ASTER: accurately estimating the number of cell types in single-cell chromatin accessibility data