Deepak Nag Ayyala, PhD 

Assistant Professor

PhD (Biostatistics), University of Maryland, Baltimore, MD, 2013

 

CONTACT INFORMATION
  (706) 721-5705
room number AE-1040
  dayyala@augusta.edu
Deepak Ayyala, PhD
Research

RESEARCH INTEREST

 
Genomics; epigenomics; transcriptomics; high dimensional inference
teaching

TEACHING AREAS

Multivariate analysis, big data analysis.

publications

SELECTED PUBLICATIONS

  • Ayyala, D. N., Roy, A., Park, J. and Rao, G., "Testing equality of autocorrelation matrices at lagzero: Application to Resting State Networks", to appear in Sankhya B, doi:10.1007/s13571-017-0138-x.
  • Ayyala, D. N., Park, J. and Roy, A., "Mean vector testing for high-dimensional dependent observations", Journal of Multivariate Analysis, (2017) 153, 1, 136-155
  • Qin, Z., Li, B., Conneely, K. N., Wu, H., Hu, M., Ayyala, D. N., Park, P., Jin, V. X., Zhang, F., Zhang, H., Li, L., Lin, S., "Statistical Challenges in Analyzing Methylation and Long-Range Chromosomal Interaction Data", Statistics in Biosciences, (2016) 8, 2 284 - 309
  • Ayyala, D. N., Lin, S., Frankhouser, D., Yan, P., Bundschuh, R., Ganbat, J. O., Marcucci, G., "Statistical methods for detecting di erentially methylated regions based on MethylCap-seq data", Brie ngs in Bioinformatics, October 2015, doi:10.1093/bib/bbv089.
  • Ayyala, D. N and Lin, S., "GrammR: Graphical representation and modeling of count data with application in metagenomics", Bioinformatics, (2015) 31, 10, 1648 - 1654.
  • Park, J. and Ayyala, D. N., "A test for the mean vector in large dimension and small samples", Journal of Statistical Planning and Inference, (2013) 143, 5, 929 - 943.