Individual skill
lncrna-regulatory-network-construction-analysis
Use this bioinformatics data analysis skill to construct a database-driven lncRNA-mRNA regulatory network from target lncRNA and/or gene lists by projecting shared miRNA evidence from local ceRNA reference tables. It does not infer networks from expression matrices.
awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,046
- Repository last updated
- Sep 17, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- legal Derived category
- data Derived category
- data-databases Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 bytesSKILL.mdcore · 10,660 byteseval_report_lncrna-regulatory-network-construction-analysis_result.jsonasset · 13,087 bytesreferences/algorithm.mddoc · 2,123 bytesreferences/cli-guide.mddoc · 4,713 bytesreferences/database/miRDB_miRNA_mRNA.csvasset · 50,358,615 bytesreferences/database/miRNA_mRNA.csvasset · 592,831 bytesreferences/database/miRTarbase_miRNA_mRNA.csvasset · 11,720,448 bytesreferences/database/starbase_miRNA_lncRNA_High.csvasset · 104,152 bytesreferences/database/starbase_miRNA_lncRNA_Low.csvasset · 333,315 bytesreferences/database/starbase_miRNA_lncRNA_Median.csvasset · 167,291 bytesreferences/database/starbase_miRNA_mRNA.csvasset · 12,676,316 bytesreferences/troubleshooting.mddoc · 2,387 bytesscripts/cli_options.Rruns · 4,767 bytesscripts/functions.Rruns · 3,156 bytesscripts/io.Rruns · 2,513 bytesscripts/main.Rruns · 4,002 bytesscripts/plot_helpers.Rruns · 265 bytesscripts/recording.Rruns · 2,930 bytesscripts/run_analysis.Rruns · 2,767 bytesscripts/utils.Rruns · 4,172 bytesscripts/visualization.Rruns · 1,369 bytestests/data/target_genes.txtdoc · 15 bytestests/data/target_lncrna.txtdoc · 23 bytestests/run_tests.Rruns · 3,804 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# lncRNA Regulatory Network Construction Analysis
## When to Use
Use this skill when the user wants a local-database network lookup workflow rather than expression-based inference.
Typical use cases:
- Build an lncRNA-mRNA network from target genes and the bundled ceRNA reference tables
- Start from a candidate lncRNA list and retrieve linked mRNAs through shared miRNAs
- Generate an auditable lncRNA-mRNA network table plus a tripartite evidence table
- Reuse a saved database-derived network object to regenerate a PDF plot