Publications

You can find a full list of publications at Google Scholar. Below are some selected papers:

  1. (2019) Johansen, N., Quon, G. scAlign: a tool for alignment, integration and rare cell identification from scRNA-seq data. Genome Biol. 20, 166 (2019).
  2. (2019) Hodge, R.D. et al. Conserved cell types with divergent features in human versus mouse cortex. Nature, 573:61-68.
  3. (2018) Li, R., Quon, G. Gene detection models outperform gene expression for large-scale scRNA-seq analysis. Genome Biol. 20, 193 (2019).
  4. (2018) Quon, G., Feizi, S., Marbach, D., Claussnitzer, M., Kellis, M. Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regions. bioRxiv.
  5. (2015) Claussnitzer, M., Dankel, S.N., Kim, K., Quon, G., et al. FTO obesity variant circuitry and adipocyte browning in humans. New England Journal of Medicine, 373:895-907.
  6. (2015) Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. Nature, 518:317-330. (co-integrative analysis lead)
  7. (2015) Gjoneska, E., Pfenning, A.R., Mathys, H., Quon, G., Kundaje, A., Tsai, L., Kellis, M. Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease. Nature, 518:365-369.
  8. (2013) Quon, G., Haider, S., Deshwar, A.G., Cui, A., Boutros, P.C., Morris, Q. Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction. Genome Medicine, 5:29.
  9. (2013) Lippert, C., Quon, G., Kang, E.Y., Kadie, C.M., Listgarten, J., Heckerman, D.  The benefits of selecting phenotype-specific variants for applications of mixed models in genomics.  Scientific Reports, 3:1815.
  10. (2013) Quon, G., Lippert, C., Heckerman, D., Listgarten, J. Patterns of methylation heritability in a genome-wide analysis of four brain regions. Nucleic Acids Research, 41: 2095-2104.
  11. (2012) Qiao, W.*, Quon, G.*, Csaszar, E., Yu, M., Morris, Q.D., Zandstra, P.W. PERT: a method for expression deconvolution of human blood samples from varied microenvironmental and developmental conditions. PLoS Computational Biology, 8(12): e1002838.
  12. (2009) Quon, G., Morris, Q. ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing. Bioinformatics, 25:2882-2889.
  13. (2009) Quon, G., Teh, Y.W., Chan, E., Brudno, M., Hughes, T., Morris, Q.D. A mixture model for the evolution of gene expression in non-homogeneous datasets. Advances in Neural Information Processing Systems, 21, 1297-1304.