Xie, Yang

Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15

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Targeting renal cell carcinoma with a HIF-2 antagonist

Chen, W., Hill, H., Christie, A., Kim, M. S., Holloman, E., Pavia-Jimenez, A., Homayoun, F., Ma, Y., Patel, N., Yell, P., et al. (2016) · Nature

Cancer, Hypoxia, and MetabolismRenal cell carcinoma treatment

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Metagenomic Shotgun Sequencing and Unbiased Metabolomic Profiling Identify Specific Human Gut Microbiota and Metabolites Associated with Immune Checkpoint Therapy Efficacy in Melanoma Patients

Frankel, A. E., Coughlin, L. A., Kim, J., Froehlich, T. W., Xie, Y., Frenkel, E. P., & Koh, A. Y. (2017) · Neoplasia

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Activation of HIF-1α and LL-37 by commensal bacteria inhibits Candida albicans colonization

Fan, D., Coughlin, L. A., Neubauer, M. M., Kim, J., Kim, M. S., Zhan, X., Simms-Waldrip, T. R., Xie, Y., Hooper, L. V., & Koh, A. Y. (2015) · Nature Medicine

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The starvation hormone, fibroblast growth factor-21, extends lifespan in mice

Zhang, Y., Xie, Y., Berglund, E. D., Coate, K. C., He, T. T., Katafuchi, T., Xiao, G., Potthoff, M. J., Wei, W., Wan, Y., et al. (2012) · eLife

Fibroblast Growth Factor ResearchGenetics, Aging, and Longevity in Model Organisms

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A community computational challenge to predict the activity of pairs of compounds

Community, N.-D., Bansal, M., Yang, J., Karan, C., Menden, M. P., Costello, J. C., Tang, H., Xiao, G., Li, Y., Allen, J., et al. (2014) · Nature Biotechnology

Computational Drug Discovery MethodsGene Regulatory Network Analysis

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A critical assessment of using ChatGPT for extracting structured data from clinical notes

Huang, J., Yang, D. M., Rong, R., Nezafati, K., Treager, C., Chi, Z., Wang, S., Cheng, X., Guo, Y., Klesse, L. J., et al. (2024) · npj Digital Medicine

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

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Comparing Statistical Methods for Constructing Large Scale Gene Networks

Allen, J. D., Xie, Y., Chen, M., Girard, L., & Xiao, G. (2012) · PLoS ONE

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

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Robust gene expression signature from formalin-fixed paraffin-embedded samples predicts prognosis of non-small-cell lung cancer patients.

Xie, Y., Xiao, G., Coombes, K. R., Behrens, C., Solis, L. M., Raso, G., Girard, L., Erickson, H. S., Roth, J., Heymach, J. V., et al. (2011) · Clinical Cancer Research

Gene expression and cancer classificationLung Cancer Research Studies

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A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data

Xie, Y., Pan, W., & Khodursky, A. B. (2005) · Bioinformatics

Gene expression and cancer classificationBioinformatics and Genomic Networks

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Aryl Sulfonamides Degrade RBM39 and RBM23 by Recruitment to CRL4-DCAF15

Ting, T. C., Goralski, M., Klein, K., Wang, B., Kim, J., Xie, Y., & Nijhawan, D. (2019) · Cell Reports

RNA Research and SplicingProtein Degradation and Inhibitors

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TNF-driven adaptive response mediates resistance to EGFR inhibition in lung cancer

Gong, K., Guo, G., Gerber, D. E., Gao, B., Peyton, M., Huang, C., Minna, J. D., Hatanpaa, K. J., Kernstine, K., Cai, L., et al. (2018) · Journal of Clinical Investigation

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

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Deep learning in digital pathology for personalized treatment plans of cancer patients

Wen, Z., Wang, S., Yang, D. M., Xie, Y., Chen, M., Bishop, J., & Xiao, G. (2023) · Seminars in Diagnostic Pathology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Experience, Perceptions, and Recommendations Concerning COVID-19-Related Clinical Research Adjustments

Gerber, D. E., Sheffield, T. Y., Beg, M. S., Williams, E. L., Clark, V. L., Xie, Y., Holbein, M. E. B., Skinner, C. S., & Lee, S. J. C. (2021) · Journal of the National Comprehensive Cancer Network

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