Zhang, Haicang

Integrating de novo and inherited variants in 42,607 autism cases identifies mutations in new moderate-risk genes

Zhou, X., Feliciano, P., Shu, C., Wang, T., Astrovskaya, I., Hall, J. B., Obiajulu, J. U., Wright, J. R., Murali, S. C., Xu, S. X., et al. (2022) · Nature Genetics

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 453

Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes

Feliciano, P., Zhou, X., Astrovskaya, I., Turner, T. N., Wang, T., Brueggeman, L., Barnard, R., Hsieh, A., Snyder, L. G., Muzny, D. M., et al. (2019) · npj Genomic Medicine

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 247

Predicting functional effect of missense variants using graph attention neural networks

Zhang, H., Xu, M. S., Fan, X., Chung, W. K., & Shen, Y. (2022) · Nature Machine Intelligence

Genomics and Rare DiseasesMachine Learning in Bioinformatics

Cited by 98

Accurate and efficient protein sequence design through learning concise local environment of residues

Huang, B., Fan, T., Wang, K., Zhang, H., Yu, C., Nie, S., Qi, Y., Zheng, W.-M., Han, J., Fan, Z., et al. (2023) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 34

Highly accurate and robust protein sequence design with CarbonDesign

Zhang, H., Ren, M., Yu, C., & Bu, D. (2023) · Nature Machine Intelligence

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 30

Accurate and robust protein sequence design with CarbonDesign

Ren, M., Yu, C., Bu, D., & Zhang, H. (2024) · Nature Machine Intelligence

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 30