Kuncheng Song

Van den Broeck, L., Bhosale, D. K., Song, K., Fonseca de Lima, C. F., Ashley, M., Zhu, T., … Sozzani, R. (2023). Functional annotation of proteins for signaling network inference in non-model species. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-40365-z

Song, K., & Zhou, Y.-H. (2023). Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations. BIOENGINEERING-BASEL, 10(2). https://doi.org/10.3390/bioengineering10020231

Song, K., & Zhou, Y.-H. (2022). C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial data. BMC BIOINFORMATICS, 23(1). https://doi.org/10.1186/s12859-022-05027-9

Marvel, S. W., House, J. S., Wheeler, M., Song, K., Zhou, Y.-H., Wright, F. A., … Reif, D. M. (2021, January). The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning. https://doi.org/10.1289/EHP8690

Song, K., Wright, F. A., & Zhou, Y.-H. (2020). Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease Prediction. FRONTIERS IN MOLECULAR BIOSCIENCES, 7. https://doi.org/10.3389/fmolb.2020.610845