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Available Softwares

Longitudinal principal component analysis

  1. The current implementation is based on the (Zipunnikov et al. 2014)(https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4316386/) and lee2015statistical.
  2. Algorithms converted from the matlab code written by Vadim Zipunnikov and certain extension and modification was applied.
  3. Software avaiable in github: link

Colored ICA

  1. The current implementation is based on (Lee et al. 2011)(https://www.tandfonline.com/doi/abs/10.1198/jasa.2011.tm10332)
  2. Upcoming impletation will include manuscripts urrently cunder review.
  3. An r-package is availalbe in cran: package link

Logistic regression with high-dimensional longitudinal covariates

  • The software will be available in github soon.
  • The submitted version is avaiable upon the request.

Sparse mediation analysis

  • Manuscript is currently under review and can be avaialble upon request.
  • Software avaiable in github: link

Poisson SVD for miRAN sequencing

  1. The current implementation is based on (Lee et al. 2013)(https://academic.oup.com/bioinformatics/article/29/9/1105/216746)
  2. Software avaiable in github: link

Works Cited

Lee, Seonjoo, Pauline E Chugh, Haipeng Shen, R Eberle, and Dirk P Dittmer. 2013. “Poisson Factor Models with Applications to Non-Normalized microRNA Profiling.” *Bioinformatics* 29 (9). Oxford University Press: 1105–11.
Lee, Seonjoo, Haipeng Shen, Young Truong, Mechelle Lewis, and Xuemei Huang. 2011. “Independent Component Analysis Involving Autocorrelated Sources with an Application to Functional Magnetic Resonance Imaging.” *Journal of the American Statistical Association* 106 (495). Taylor & Francis: 1009–24.
Zipunnikov, Vadim, Sonja Greven, Haochang Shou, Brian Caffo, Daniel S Reich, and Ciprian Crainiceanu. 2014. “Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis.” *The Annals of Applied Statistics* 8 (4). NIH Public Access: 2175.