<b>Pearson-based co-expression relationships between DElncRNAs and DEmRNAs</b>

1627 DElncRNA-DEmRNA interactions were identified at 7 days post-infection (dpi), and 1343 interactions were identified at 12 dpi. The dataset, authored by ANJALI CHAUDHARY and shared on figshare under CC-BY-4.0, contains Pearson correlation-based co-expression relationships for differentially expressed long non-coding RNAs and mRNAs. It includes data for isoforms produced by alternate splicing, which are described as essential for plant growth, development, and resistance during fungal stress.

Use Cases

• Constructing gene co-expression networks based on Pearson correlation coefficients.
• Analyzing temporal changes in regulatory networks during early versus later fungal infection stages.
• Investigating the role of DElncRNA isoforms in plant stress response based on alternate splicing data.
• Identifying potential functional associations between non-coding and coding RNA transcripts.

Strengths

• Provides specific counts of interactions (1627 at 7 dpi, 1343 at 12 dpi) and genes involved.
• Includes data for both core transcripts and their isoforms, as mentioned in the description.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (129.8 KB), indicating a limited scope of analysis.

Provenance

Source

figshare

Collection Method

Pearson correlation coefficient (PCC) analysis of differentially expressed RNAs.

Time Range

Data points from 7 and 12 days post-infection.

Freshness

Last updated 2026-05-14 22:49:55; freshness should be verified.