Casto, A.M., Song, H., Xie, H., Selke, S., Roychoudhury, P., Wu, M.C., Wald, A., Greninger, A.L., Johnston, C.
Viral genomic variation and the severity of genital HSV-2 infection.
Song, H.*, Ma, N.*, Plantinga, A.M., Wu, M.C.
Identifying genomic features related to microbiome community composition using a sparse kernel RV coefficient.
Song, H., Wu, M.C.
Multivariate differential association analysis.
arXiv [R package: kerDAA]
Song, H., Chen, H.
New graph-based multi-sample tests for high-dimensional and non-Euclidean data.
arXiv [R package: gTestsMulti]
Song, H., Chen, H.
Practical and powerful kernel-based change-point detection.
arXiv [R package: kerSeg]
Song, H., Chen, H.
A fast and effective large-scale two-sample test based on kernels.
arXiv
Byrne, E.H., Song, H., Srinivasan, S., Fredricks, D.N., Reed, S.D., Guthrie, K., Wu, M.C., Mitchell, C.M. (2024).
Association between vaginal microbiota and vaginal inflammatory immune markers in postmenopause.
Menopause.
Song, H., Chen, H. (2023).
Generalized kernel two-sample tests.
Biometrika, DOI:10.1093/biomet/asad068. [R package: kerTests]
Song, H., Wu, M.C. (2023).
Limitation of permutation-based differential correlation analysis.
Genetic Epidemiology, 47(3):583-642.
Song, H., Ling, W., Zhao, N., Plantinga, A.M., Broedlow, C.A., Klatt, N.R.,
Hensley-McBain, T., Wu, M.C. (2023).
Accommodating multiple potential normalizations in microbiome associations studies.
BMC Bioinformatics, 24(1):22.
Song, H., Liu, H., Wu, M.C. (2022).
A fast kernel independence test for cluster-correlated data.
Scientific Reports, 12(1):21659.
Ling, W., Lu, J., Zhao, N., Lulla, A., Plantinga, A., Fu, W., Zhang, A., Liu, H.,
Song, H., Li, Z., Chen, J., Randolph, T., Koay, W., White, J., Launer, L., Fodor, A.,
Meyer, K., Wu, M.C. (2022).
Batch effects removal for microbiome data via conditional quantile regression.
Nature Communications, 13(1):5418.
Song, H., Chen, H. (2022).
Asymptotic distribution-free change-point detection for data with repeated observations.
Biometrika, 109(3):783-798. [R package: gSeg]
Song, H., Thiagarajan, J., Kailkhura, B. (2021).
Preventing failures by dataset shift detection in safety-critical graph applications.
Frontiers in Artificial Intelligence, 4:589632.