Published January 26, 2022 | Version Version 1.0
Dataset Open

Identifying strengths and weaknesses of methods for computational network inference from single cell RNA-seq data

Authors/Creators

  • 1. Wisconsin Institute for Discovery, University of Wisconsin-Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison
  • 2. Wisconsin Institute for Discovery, University of Wisconsin-Madison; Laboratory of Genetics, University of Wisconsin-Madison
  • 3. Wisconsin Institute for Discovery, University of Wisconsin-Madison
  • 4. Wisconsin Institute for Discovery, University of Wisconsin-Madison; Department of Computer Sciences, University of Wisconsin-Madison
  • 5. Wisconsin Institute for Discovery, University of Wisconsin-Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison; Department of Computer Sciences, University of Wisconsin-Madison

Description

These data files contain single-cell RNA-sequencing expression data (expression_data.zip) and pseudotime files (pseudotime.zip) used to conduct comparisons of network inference methods on six published single-cell RNA-sequencing datasets. The resulting networks generated from the network inference methods are also uploaded here (normalized_inferred_networks.zip and imputed_inferred_networks.zip). Finally, the gold standard networks we used as ground truth to measure accuracy of the inferred networks are uploaded here (gold_standard_datasets.zip).

Files

expression_data.zip

Files (5.5 GB)

Name Size Download all
md5:ac90a00766d58be2f8c011e41805c2bd
1.5 GB Preview Download
md5:77d30357821e0035a46489b56e018722
50.4 MB Preview Download
md5:e1f06fc3e66e11bda067c59bd6b48dac
2.1 GB Preview Download
md5:7574eacbabde5307bf6e8ff9a2489667
1.9 GB Preview Download
md5:369a4e2a69a2c7b3c5aa67ec52785974
840.5 kB Preview Download