Gao, Xin

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era

Li, Y., Huang, C., Ding, L., Li, Z., Pan, Y., & Gao, X. (2019) · Methods

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 401

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Tian, S., Jin, Q., Yeganova, L., Lai, P.-T., Zhu, Q., Chen, X., Yang, Y., Chen, Q., Kim, W., Comeau, D. C., et al. (2023) · Briefings in Bioinformatics

Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies

Cited by 359

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

Zhou, J., He, X., Sun, L., Xu, J., Chen, X., Chu, Y., Zhou, L., Liao, X., Zhang, B., Afvari, S., et al. (2024) · Nature Communications

Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management

Cited by 189

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Thafar, M. A., Olayan, R. S., Ashoor, H., Albaradei, S., Bajic, V. B., Gao, X., Gojobori, T., & Essack, M. (2020) · Journal of Cheminformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 143

Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors

Li, Z., Cong, Y., Chen, X., Qi, J., Sun, J., Yan, T., Yang, H., Liu, J., Lu, E., Wang, L., et al. (2023) · iScience

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 82

DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

Thafar, M. A., Olayan, R. S., Albaradei, S., Bajic, V. B., Gojobori, T., Essack, M., & Gao, X. (2021) · Journal of Cheminformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 70

PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data

Zhou, J., Chen, S., Wu, Y., Li, H., Zhang, B., Zhou, L., Hu, Y., Xiang, Z., Li, Z., Chen, N., et al. (2024) · Science Advances

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 63

Meta Cancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data

Albaradei, S., Napolitano, F., Thafar, M. A., Gojobori, T., Essack, M., & Gao, X. (2021) · Computational and Structural Biotechnology Journal

Gene expression and cancer classificationCancer Genomics and Diagnostics

Cited by 61

1′-Ribose cyano substitution allows Remdesivir to effectively inhibit nucleotide addition and proofreading during SARS-CoV-2 viral RNA replication

Zhang, L., Zhang, D., Wang, X., Yuan, C., Li, Y., Jia, X., Gao, X., Yen, H.-L., Cheung, P. P.-H., & Huang, X. (2021) · Physical Chemistry Chemical Physics

SARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery Methods

Cited by 52

Role of 1’-Ribose Cyano Substitution for Remdesivir to Effectively Inhibit Nucleotide Addition and Proofreading in SARS-CoV-2 Viral RNA Replication

Zhang, L., Zhang, D., Wang, X., Yuan, C., Li, Y., Jia, X., Gao, X., Yen, H.-L., Cheung, P. P.-H., & Huang, X. (2020) · Physical Chemistry Chemical Physics

SARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery Methods

Cited by 52

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning

Li, Z., Li, Y., Zhang, B., Li, Y., Long, Y., Zhou, J., Zou, X., Zhang, M., Hu, Y., Chen, W., et al. (2022) · Genomics, Proteomics & Bioinformatics

RNA Research and SplicingGenomics and Phylogenetic Studies

Cited by 37

AB-Gen: Antibody Library Design with Generative Pre-Trained Transformer and Deep Reinforcement Learning

Xu, X., Xu, T., Zhou, J., Liao, X., Zhang, R., Wang, Y., Zhang, L., & Gao, X. (2023) · Genomics, Proteomics & Bioinformatics

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32

AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement Learning

Xu, X., Xu, T., Zhou, J., Liao, X., Zhang, R., Wang, Y., Zhang, L., & Gao, X. (2023) · Genomics Proteomics & Bioinformatics

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32

On the Decision Boundary of Deep Neural Networks

Li, Y., Ding, L., & Gao, X. (2018) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 31

RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning

Kim, J.-S., Gao, X., & Rzhetsky, A. (2018) · PLOS Computational Biology

Machine Learning in HealthcareRace, Genetics, and Society

Cited by 31

Abstract CT119: A first-in-human phase 1 study of LOXO-435, a potent, highly isoform-selective FGFR3 inhibitor in advanced solid tumors with FGFR3 alterations (trial in progress)

Iyer, G., Siefker-Radtke, A., Milowsky, M., Shore, N., Gao, X., Reimers, M. A., Hahn, N., Cosman, R., Matsubara, N., Necchi, A., et al. (2023) · Cancer Research

Fibroblast Growth Factor ResearchLung Cancer Treatments and Mutations

Cited by 12