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Published March 29, 2023 | Version v1
Dataset Open

Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities"

  • 1. Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
  • 2. Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
  • 3. Barcelona Supercomputing Center, Barcelona, Spain
  • 4. Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway

Description

Datasets involved in the construction and benchmarking of the CollecTRI-derived regulons as presented in the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities".

Files

ccrcc_counts_tvalues.csv

Files (16.1 MB)

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md5:a6b481c86ab7018bfc4aadbf17a46780
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md5:6285f00af16f33433eea132b27b9a2e1
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md5:4bf28b966394b7365b1986146cbf7180
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md5:edf9bc034c6b6fc1fd1f78ad979369ce
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md5:8eef9e4f6ecd9747649992922e517025
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