Bioinformatics and Systems Medicine Laboratory

 About DESnowball

DESnowball R package implements the snowball approach, a highly sensitive statistical analysis method to identify downstream target genes that are affected by a recurrent driver mutation. Snowball utilizes a strategy combining resampling and distance-based regression to assign a robust ranking to genes based on their aggregated association with the presence of the mutation and further selects the statistically significant ones.

 Current Version
  • Xu, Y. and Sun, J. (2005) PfCluster: a new cluster analysis procedure for gene expression profiles. Presented at a conference on Nonparametric Inference and Probability With Applications to Science honoring Michael Woodroofe; September 24-25, 2005; Ann Arbor, Mich, 2005.
  • McArdlei, B.H. and Anderson, M.J. (2001) Fitting multivariate models to community data: A comment on distance-based redundancy analysis. Ecology 82(1): 290-297.
  • Guo, X., Xu, Y. and Zhao, Z.. Driver mutation BRAF regulates cell proliferation and apoptosis via MITF in the pathogenesis of melanoma, manuscript in preparation.
  • Xu, Y., Guo, X., Sun, J. and Zhao. Z. (2015) Snowball: resampling combined with distance-based regression to discover transcriptional consequences of a driver mutation, Bioinformatics, 31(1):84-93 PumMed
  • Zhongming Zhao:
  • Yaomin Xu: