Lu Han

A novel method for predicting cell abundance based on single-cell RNA-seq data

Xuequn Shang, Jiajie Peng, Lu Han, 2021, BMC Bioinformatics.

Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees.

E. Shapiro, J. Shendure, R. Srinivasan, 2021, Cell systems.

A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction

Jianye Hao, Xuequn Shang, Jiajie Peng, 2021, bioRxiv.

Benchmarked approaches for cell lineage reconstructions of in vitro dividing cells and in 1 silico models of Caenorhabditis elegans and Mus musculus developmental trees

E. Shapiro, J. Shendure, R. Srinivasan, 2021 .

A deconvolution method for predicting cell abundance based on single cell RNA-seq data

Xuequn Shang, Jiajie Peng, Lu Han, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Deep Learning-based Genome-wide Polygenic Risk Score for Common Diseases Identifies Individuals with Risk

Jiajie Peng, R. Han, T. Wang, 2021, medRxiv.

Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning

Lu Han, Yan Zheng, Dazhi Lu, 2024, bioRxiv.

DeepRisk: A deep learning approach for genome-wide assessment of common disease risk

Lu Han, Yuxian Wang, Jingyi Li, 2024, Fundamental research.