NYU Dataset

Genomic data for the testing of gold-standard networks of direct regulatory interactions in Saccharomyces cerevisiae

UID: 10279
* Corresponding Author
Description
This data was created and compiled as researchers built genome-scale gold-standard networks of direct regulatory interactions in Saccharomyces cerevisiae that incorporate binding and gene knockout data. The research team used seven performance measurements to see the accuracy of eighteen statistics association-based approaches for de-novo network reverse-engineered in 13 different datasets spanning over four data types. Original data includes (1) a spreadsheet of a network with 991,444 regulatory relations involving 5,395 genes, including 118 transcription factors; (2) a spreadsheet with all identified binding interactions; and (3) a spreadsheet of all identified direct regulatory interactions.
Subject of Study
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Access

Restrictions
Free to All
Instructions
Data underlying article figures as well as gene network data are available for download through PubMed Central under Supplemental Materials.
Access via PMC

Supplemental Materials
Accession #: PMC4162580

Associated Publications
Data Type
Dataset Format(s)
Microsoft Excel, Microsoft Word
Other Resources
GEO

GPL90 Genome Array