ArticleProceedings of the National Academy of Sciences of the United States of America2024
Organ-delimited gene regulatory networks provide high accuracy in candidate transcription factor selection across diverse processes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Integrated Gene Regulatory Network Analysis Reveals Coordinated Transcriptional Reprogramming in thePlants (Basel, Switzerland) · 2026Article
- Inferring Gene Networks from High-Throughput Transcriptomes.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Organ-level gene-regulatory networks inferred from transcriptomic data reveal context-specific regulation and highlight novel regulators of ripening and ABA-mediated responses in tomato.Plant communications · 2025Article
- A bHLH7-PDF2 module mediates transcriptional regulation to repress seed oil accumulation in Arabidopsis thaliana.Plant communications · 2025Article
- Organ-delimited gene regulatory networks provide high accuracy in candidate transcription factor selection across diverse processes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Organ-specific gene expression datasets that include hundreds to thousands of experiments allow the reconstruction of organ-level gene regulatory networks (GRNs). However, creating such datasets is greatly hampered by the requirements of extensive and tedious manual curation. Here, we trained a supervised classification model that can accurately classify the organ-of-origin for a plant transcriptome. This K-Nearest Neighbor-based multiclass classifier was used to create organ-specific gene expression datasets for the leaf, root, shoot, flower, and seed in
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