Published November 18, 2023 | Version v1
Dataset Open

High-order correction of persistent batch effects in correlation networks

  • 1. ROR icon Harvard University
  • 2. Genospace

Description

This upload contains data to reproduce the results and figures in our work High-order correction of persistent batch effects in correlation networks. The code is publicly available on GitHub.

Files

data.zip

Files (6.9 GB)

Name Size Download all
md5:a602fab67e4cd8e937b4bc2da6688b7d
6.9 GB Preview Download

Additional details

References

  • Ben Guebila, M., Lopes-Ramos, C.M., Weighill, D., Sonawane, A.R., Burkholz, R., Shamsaei, B., Platig, J., Glass, K., Kuijjer, M.L. and Quackenbush, J., 2022. GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Research, 50(D1), pp.D610-D621.
  • Kuijjer, M.L., Tung, M.G., Yuan, G., Quackenbush, J. and Glass, K., 2019. Estimating sample-specific regulatory networks. Iscience, 14, pp.226-240.