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The Inferred Cardiogenic Gene Regulatory Network in the Mammalian Heart

Bazil, Jason N., Stamm, Karl D., Li, Xing, Thiagarajan, Raghuram, Nelson, Timothy J., Tomita-Mitchell, Aoy, Beard, Daniel A.·2014·PLoS ONE
DOI 10.1371/journal.pone.0100842PMC PMC4074065
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  • Systematic cardiac gene regulatory networks were previously reported based on spatio-temporal datasets or integration of gene expression and gene regulation.

    “Indeed, systematic cardiac GRNs were previously reported, based on either spatio-temporal datasets [44, 45] or integration of layers of gene expression and gene regulation [46].”

    From A cis-regulatory-directed pipeline for the identification of genes involved in cardiac development and disease (2021) · cites this paper as [45]

    The Introduction and Materials and Methods describe a systematic cardiogenic gene regulatory network inferred from developing-mouse-heart expression data. The method combines expression-based network inference with gene-ontology similarity, not with a separate layer of gene-regulation data, so the specific description of what was integrated is not supported. (LLM, conf=0.84)

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Metadata

Authors
Bazil, J. N., Stamm, K. D., Li, X., Thiagarajan, R., Nelson, T. J., Tomita-Mitchell, A., & Beard, D. A.
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2014-06-27
Volume
9
Issue
6
Pages
e100842
ISSN
1932-6203
DOI
10.1371/journal.pone.0100842
PMC
PMC4074065
Cited by
8
References
2
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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