Blatti, C., Emad, A., Berry, M. J., Gatzke, L., Epstein, M., Lanier, D., Rizal, P., Ge, J., Liao, X., Sobh, O., Lambert, M., Post, C. S., Xiao, J., Groves, P., Epstein, A. T., Chen, X., Srinivasan, S., Lehnert, E., Kalari, K. R., ... Sinha, S. (2020). Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform. PLoS biology, 18(1), [e3000583]. https://doi.org/10.1371/journal.pbio.3000583

Finnegan, A. I., Kim, S., Jin, H., Gapinske, M., Woods, W. S., Perez-Pinera, P., & Song, J. S. (2020). Epigenetic engineering of yeast reveals dynamic molecular adaptation to methylation stress and genetic modulators of specific DNMT3 family members. Nucleic acids research, 48(8), 4081-4099. https://doi.org/10.1093/nar/gkaa161

Manjunath, M., Zhang, Y., Zhang, S., Roy, S., Perez-Pinera, P., & Song, J. S. (2020). ABC-GWAS: Functional Annotation of Estrogen Receptor-Positive Breast Cancer Genetic Variants. Frontiers in Genetics, 11, [730]. https://doi.org/10.3389/fgene.2020.00730

Zhang, S., Leistico, J. R., Cook, C., Liu, Y., Cho, R. J., Cheng, J. B., & Song, J. S. (2020). Riemannian geometry and statistical modeling correct for batch effects and control false discoveries in single-cell surface protein count data. Physical Review E, 102(1), [012409]. https://doi.org/10.1103/PhysRevE.102.012409

Finnegan, A., Cho, R. J., Luu, A., Harirchian, P., Lee, J., Cheng, J. B., & Song, J. S. (2019). Single-cell transcriptomics reveals spatial and temporal turnover of keratinocyte differentiation regulators. Frontiers in Genetics, 10(JUL), [775]. https://doi.org/10.3389/fgene.2019.00775

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