Shang, Xuequn

A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network

Peng, J., Li, J., & Shang, X. (2020) · BMC Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 133

Deep learning-based classification and mutation prediction from histopathological images of hepatocellular carcinoma

Liao, H., Long, Y., Han, R., Wang, W., Xu, L., Liao, M., Zhang, Z., Wu, Z., Shang, X., Li, X., et al. (2020) · Clinical and Translational Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 92

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

Gong, W., Granados, A. A., Hu, J., Jones, M. G., Raz, O., Salvador-Martínez, I., Zhang, H., Chow, K.-H. K., Kwak, I.-Y., Retkute, R., et al. (2021) · Cell Systems

Single-cell and spatial transcriptomicsDevelopmental Biology and Gene Regulation

Cited by 62

SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model

Zheng, Y., Zhong, Y., Hu, J., & Shang, X. (2021) · BMC Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 18

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

Peng, J., Bao, Z., Li, J., Han, R., Wang, Y., Han, L., Peng, J., Wang, T., Hao, J., Wei, Z., et al. (2024) · Fundamental Research

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 15