(*: equal contribution,   __: advisee)

Preprints

• Adaptive spatial blocking for scalable clustering inference with applications to high-throughput spatial proteomics
  Go, M., Wrobel, J., Song, H.

• Change-point detection with multivariate repeated measures
  Han, S., Zhang, J., Song, H.

• A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
  Wrobel, J.*, Song, H.*

• Identifying genomic features related to microbiome community composition using a sparse kernel RV coefficient
  Song, H.*, Ma, N.*, Plantinga, A.M., Wu, M.C.

• New graph-based multi-sample tests for high-dimensional and non-Euclidean data
  Song, H., Chen, H.   [R package: gTestsMulti]

• A fast and effective large-scale two-sample test based on kernels
  Song, H., Chen, H.

Publications

• Practical and powerful kernel-based change-point detection
  Song, H., Chen, H. (2024)
  IEEE Transactions on Signal Processing, 72:5174-5186   [R package: kerSeg]

• Generalized kernel two-sample tests
  Song, H., Chen, H. (2024)
  Biometrika, 111(3):755-770   [R package: kerTests]

• Viral genomic variation and the severity of genital HSV-2 infection as quantified by shedding rate: a viral genome-wide association study
  Casto, A.M., Song, H., Xie, H., Selke, S., Roychoudhury, P., Wu, M.C., Wald, A., Greninger, A.L., Johnston, C. (2024)
  Journal of Infectious Diseases, 230(6):1357-1366

• Multivariate differential association analysis
  Song, H., Wu, M.C. (2024)
  Stat, 13(2), e704   [R package: kerDAA]

• Association between vaginal microbiota and vaginal inflammatory immune markers in postmenopause
  Byrne, E.H., Song, H., Srinivasan, S., Fredricks, D.N., Reed, S.D., Guthrie, K., Wu, M.C.,
  Mitchell, C.M. (2024)
  Menopause: The Journal of The Menopause Society, 31(7):575-581

• Limitation of permutation-based differential correlation analysis
  Song, H., Wu, M.C. (2023)
  Genetic Epidemiology, 47(3):583-642

• Accommodating multiple potential normalizations in microbiome associations studies
  Song, H., Ling, W., Zhao, N., Plantinga, A.M., Broedlow, C.A., Klatt, N.R., Hensley-McBain, T.,
  Wu, M.C. (2023)
  BMC Bioinformatics, 24(1):22

• A fast kernel independence test for cluster-correlated data
  Song, H., Liu, H., Wu, M.C. (2022)
  Scientific Reports, 12(1):21659

• Batch effects removal for microbiome data via conditional quantile regression
  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)
  Nature Communications, 13(1):5418

• Asymptotic distribution-free changepoint detection for data with repeated observations
  Song, H., Chen, H. (2022)
  Biometrika, 109(3):783-798   [R package: gSeg]

• Preventing failures by dataset shift detection in safety-critical graph applications
  Song, H., Thiagarajan, J., Kailkhura, B. (2021)
  Frontiers in Artificial Intelligence, 4:589632