Guole Liu

DigitalBrain integrates and organizes human brain transcriptomic data across scales, revealing hierarchical organization and age-related gene reorganization.

Cell-Graph Compass (CGC) is a foundation model that uses graph structures to represent single cells, capturing multiple biological perspectives and achieving state-of-the-art results in downstream tasks.

SCARF is a foundation model for integrating single-cell ATAC-seq and RNA-seq data, achieving state-of-the-art performance in cell representation and cross-omics tasks.

scCompass provides a cross-species scRNA-seq database with standardized preprocessing, enabling AI-ready data for research and analysis.

GeneCompass is a cross-species foundation model pre-trained on single-cell transcriptomes from human and mouse, integrating biological knowledge to improve gene regulatory mechanism understanding and downstream tasks.

DeepETPicker improves 3D particle picking in cryo-electron tomography with weakly supervised deep learning, achieving higher accuracy and speed than existing methods.

CellPolaris uses transfer learning to generate cell-type-specific gene regulatory networks from transcriptomic data, achieving state-of-the-art results in predicting regulatory factors and simulating cell fate transitions.