Agent skill

Lncrna Regulatory Network Construction Analysis

by aipoch in aipoch/medical-research-skills

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…

MITAuto-check passedResearch & Science

Install Lncrna Regulatory Network Construction Analysis

skills CLI
$ npx skills add aipoch/medical-research-skills --skill lncrna-regulatory-network-construction-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills lncrna-regulatory-network-construction-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis' .claude/skills/lncrna-regulatory-network-construction-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lncrna-regulatory-network-construction-analysis
GitHub stars
1.9k
Token cost
~2.7k tokens
SKILL.md length
1,028 words
Files
26 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 9 steps: Read SKILL.md to confirm that the… → Use scripts/main.R for actual execution. → Use --mode analyze to build tables and a… → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers When to Use, Execution Model, When to Read External Files and Out-of-Scope Response Pattern, plus 11 more sections
  • Runs R scripts from its folder

What it does

Lncrna Regulatory Network Construction Analysis is an agent skill from aipoch/medical-research-skills. 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.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `eval_report_lncrna-regulatory-network-construction-analysis_result.json`, `references/algorithm.md` and `references/cli-guide.md`).

It sits in Research & Science, covering Bioinformatics and Data analysis. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve Bioinformatics
  • Tasks that involve Data analysis

Example prompts

  • “/lncrna-regulatory-network-construction-analysis”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Read SKILL.md to confirm that the request is database-driven.
  2. Use scripts/main.R for actual execution.
  3. Use --mode analyze to build tables and a saved .rda object.
  4. Use --mode visualize to reuse the saved object and redraw the PDF without rebuilding the database tables.
  5. Use --mode full to run both steps in one pass.
  6. Read reference files only when more detail is needed.
  7. Before --mode visualize, confirm that output_dir/data/lncrna_network.rda already exists.
  8. In visualize mode, the saved .rda object is the required input; a missing or invalid reference_dir does not block plot reuse.
  9. After execution, report the mode, output directory, key files, and either the retained network size or the surfaced skill error code.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 6 files in scripts/ (R, from the files we listed), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lncrna Regulatory Network Construction Analysis loads about 2.7k tokens when it runs, and up to ~19M if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 1,028 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~19M

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,028 words, ~2,665 tokens.

Download SKILL.mdSave it as .claude/skills/lncrna-regulatory-network-construction-analysis/SKILL.md (or your agent's skills folder). This skill also uses 25 other files; get the full folder from GitHub.
name
lncrna-regulatory-network-construction-analysis
description
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.
license
MIT
author
AIPOCH

Source: 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

Do not use this skill when the user asks for:

  • Expression-matrix-based network inference
  • Correlation analysis between lncRNAs and mRNAs
  • Causal inference or regulatory-strength estimation from expression data
  • Online database querying or remote API lookups

Execution Model

This is a hybrid skill.

  1. Read SKILL.md to confirm that the request is database-driven.
  2. Use scripts/main.R for actual execution.
  3. Use --mode analyze to build tables and a saved .rda object.
  4. Use --mode visualize to reuse the saved object and redraw the PDF without rebuilding the database tables.
  5. Use --mode full to run both steps in one pass.
  6. Read reference files only when more detail is needed.
  7. Before --mode visualize, confirm that output_dir/data/lncrna_network.rda already exists.
  8. In visualize mode, the saved .rda object is the required input; a missing or invalid reference_dir does not block plot reuse.
  9. After execution, report the mode, output directory, key files, and either the retained network size or the surfaced skill error code.

When to Read External Files

SituationFile to ReadPurpose
Need algorithm detailsreferences/algorithm.mdUnderstand the shared-miRNA projection logic
Need troubleshooting helpreferences/troubleshooting.mdReview error codes and fixes
Need CLI examples or the baseline recordreferences/cli-guide.mdReview installation, examples, and the recorded run
Need runnable demo inputstests/data/Use the bundled target gene and lncRNA lists
Need actual executionscripts/main.RRun the CLI workflow

Out-of-Scope Response Pattern

If the request is expression-based rather than database-driven, do not run this skill. Respond briefly with:

This skill only projects lncRNA-mRNA links from local ceRNA reference tables using target gene and/or lncRNA lists. It does not infer networks from expression matrices or estimate causal regulatory strength. Use a different workflow for expression-based correlation or causal inference.

If the request is ambiguous between database-driven lookup and expression-based inference, ask one short clarifying question before running any command.

Agent Response Contract

For a successful run, report:

  • The selected mode and why it fits the request
  • The output_dir
  • The key output files that were generated or reused
  • The retained network size from table/network_stats.txt when available
  • A short reminder that the result is database-driven rather than expression-inferred

For a failed run, report:

  • The surfaced SKILL_* error code
  • The most likely cause based on references/troubleshooting.md
  • The shortest actionable next step for rerunning the workflow

Usage

bash
Rscript scripts/main.R \
  --mode full \
  --target_genes ./target_genes.txt \
  --target_lncrna ./target_lncrna.txt \
  --mirna_dataset combined \
  --lncrna_strictness High \
  --min_shared_mirna 1 \
  --reference_dir ./references/database \
  --output_dir ./output \
  --seed 42

Arguments

LongTypeDefaultDescription
--modecharacterfullRun mode: analyze, visualize, or full
--target_genescharacteremptyTarget gene list file or comma-separated gene list
--target_lncrnacharacteremptyTarget lncRNA list file or comma-separated lncRNA list
--mirna_datasetcharactercombinedmiRNA-mRNA dataset: combined, starbase, mirdb, mirtarbase, starbase+mirdb, starbase+mirtarbase, or mirdb+mirtarbase
--lncrna_strictnesscharacterHighmiRNA-lncRNA strictness: Low, Median, or High
--lncrna_freq_threshinteger0Minimum lncRNA degree threshold after edge aggregation
--min_shared_mirnainteger1Minimum shared miRNA count for keeping an lncRNA-mRNA edge
--reference_dircharacterreferences/databaseLocal directory containing the bundled ceRNA reference tables; required for analyze and full
--output_dircharactertests/outputOutput directory inside the skill root
--plot_filecharacterlncrna_mrna_network.pdfPDF file name under plot/
--plot_titlecharacterlncRNA-mRNA Regulatory NetworkPlot title
--layout_typecharacterkkPlot layout: kk, fr, circle, or nicely
--widthdouble14Plot width in inches
--heightdouble9Plot height in inches
--node_size_basedouble6Base node size
--node_size_scaledouble1.5Node size increment per degree
--lncrna_colorcharacter#1f77b4lncRNA node color
--mrna_colorcharacter#d62728mRNA node color
--seedinteger42Random seed
--timeout_secondsinteger0Optional timeout in seconds; 0 disables it
Show full SKILL.md (388 more words)Show less

Input Format

Target Gene List
  • Plain-text file or comma-separated list
  • One gene symbol per line when using a file

Example:

text
TP53
BRCA1
MYC
Target lncRNA List
  • Plain-text file or comma-separated list
  • One lncRNA symbol per line when using a file

Example:

text
XIST
SNHG16
HNRNPU-AS1

At least one of --target_genes or --target_lncrna must be provided.

Output Files

FileDescription
table/lncrna_mrna_edges.csvProjected lncRNA-mRNA network with shared-miRNA counts and labels
table/lncrna_mirna_mrna_evidence.csvTripartite evidence table with one lncRNA-miRNA-mRNA row per evidence chain
table/lncrna_mrna_nodes.csvNode table with node type and degree
table/network_stats.txtNetwork summary statistics
data/lncrna_network.rdaSerialized R object used by visualization mode
plot/lncrna_mrna_network.pdfProjected lncRNA-mRNA network PDF
session_info.txtR session and package version record
output_manifest.txtAppend-only manifest of generated outputs
run_record.txtAppend-only run history with parameters, runtime, and output summary

Error Handling

Error CodeMeaningSolution
SKILL_FILE_NOT_FOUNDA required list file, reference file, or saved result object is missingCheck the path and rerun
SKILL_MISSING_COLUMNSA required database column is absentValidate the reference table format
SKILL_EMPTY_DATANo target IDs, evidence rows, or final edges remainedBroaden the target list or relax filtering
SKILL_INVALID_PARAMETERA CLI argument is missing, invalid, or unsafeRecheck the parameter table
SKILL_SAMPLE_MISMATCHReserved for workflows expecting matched entitiesNot expected in the database-only workflow
SKILL_PACKAGE_NOT_FOUNDRequired R packages are missingInstall the packages from references/cli-guide.md

Progressive Disclosure

  1. Start with --target_genes or --target_lncrna.
  2. Add the second target list if a more focused subnetwork is needed.
  3. Switch --mirna_dataset if a different miRNA-mRNA evidence source is required.
  4. Adjust --lncrna_strictness, --lncrna_freq_thresh, and --min_shared_mirna to tighten or relax the projected network.
  5. Reuse --mode visualize once the .rda object exists.

Result Size Guidance

  • Broad gene-only or lncRNA-only runs can expand quickly and may retain hundreds to thousands of edges.
  • If the retained network is too large for practical review, report the edge and node totals, then increase --min_shared_mirna, increase --lncrna_freq_thresh, or provide the complementary target list.
  • Start with the bundled demo inputs before moving to broader target lists.

Examples

Gene-Driven Network
bash
Rscript scripts/main.R \
  --mode full \
  --target_genes ./target_genes.txt \
  --reference_dir ./references/database \
  --output_dir ./output
lncRNA-Driven Network
bash
Rscript scripts/main.R \
  --mode analyze \
  --target_lncrna ./target_lncrna.txt \
  --mirna_dataset starbase \
  --lncrna_strictness Median \
  --output_dir ./lncrna_only_output
Focused Bipartite Network
bash
Rscript scripts/main.R \
  --mode full \
  --target_genes TP53,BRCA1,MYC \
  --target_lncrna XIST,SNHG16,HNRNPU-AS1 \
  --mirna_dataset combined \
  --lncrna_strictness High \
  --min_shared_mirna 2 \
  --output_dir ./focused_output
Visualization Reuse
bash
Rscript scripts/main.R \
  --mode visualize \
  --output_dir ./focused_output \
  --plot_file reused_network.pdf \
  --layout_type fr

For the bundled baseline and CLI notes, read references/cli-guide.md.

Testing

bash
Rscript scripts/main.R --help

Rscript tests/run_tests.R

Rscript scripts/main.R \
  --mode full \
  --target_genes tests/data/target_genes.txt \
  --target_lncrna tests/data/target_lncrna.txt \
  --reference_dir references/database \
  --output_dir tests/output \
  --seed 42

Expected retained outputs after a validated run:

  • tests/output/table/lncrna_mrna_edges.csv
  • tests/output/table/lncrna_mirna_mrna_evidence.csv
  • tests/output/table/lncrna_mrna_nodes.csv
  • tests/output/table/network_stats.txt
  • tests/output/data/lncrna_network.rda
  • tests/output/plot/lncrna_mrna_network.pdf
  • tests/output/session_info.txt
  • tests/output/output_manifest.txt
  • tests/output/run_record.txt

Scope Limits

This skill does not infer networks from expression matrices and does not perform online queries.

If the user needs expression-based correlation or causal inference, use a different workflow.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 25 other files (scripts, references) in awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis of aipoch/medical-research-skills.

  • SKILL.md
  • eval_report_lncrna-regulatory-network-construction-analysis_result.json
  • references/algorithm.md
  • references/cli-guide.md
  • references/database/miRDB_miRNA_mRNA.csv
  • references/database/miRNA_mRNA.csv
  • references/database/miRTarbase_miRNA_mRNA.csv
  • references/database/starbase_miRNA_lncRNA_High.csv
  • references/database/starbase_miRNA_lncRNA_Low.csv
  • references/database/starbase_miRNA_lncRNA_Median.csv
  • references/database/starbase_miRNA_mRNA.csv
  • references/troubleshooting.md
  • scripts/cli_options.R
  • scripts/functions.R
  • scripts/io.R
  • scripts/main.R
  • scripts/plot_helpers.R
  • scripts/recording.R
  • … and 8 more

Open the folder on GitHubat commit 686e09d

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Questions about Lncrna Regulatory Network Construction Analysis

What does Lncrna Regulatory Network Construction Analysis do?

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…. Lncrna Regulatory Network Construction Analysis is an agent skill from aipoch/medical-research-skills. 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.

When should I use Lncrna Regulatory Network Construction Analysis?

Lncrna Regulatory Network Construction Analysis fits situations like: tasks that involve Bioinformatics; tasks that involve Data analysis.

How do I install Lncrna Regulatory Network Construction Analysis in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill lncrna-regulatory-network-construction-analysis -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis in aipoch/medical-research-skills) into .claude/skills/lncrna-regulatory-network-construction-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Lncrna Regulatory Network Construction Analysis in Codex?

Run `npx skills add aipoch/medical-research-skills --skill lncrna-regulatory-network-construction-analysis -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis in aipoch/medical-research-skills) into .agents/skills/lncrna-regulatory-network-construction-analysis in your project. Codex loads it when a task matches its description.

Can I use Lncrna Regulatory Network Construction Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill lncrna-regulatory-network-construction-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lncrna-regulatory-network-construction-analysis, .gemini/skills/lncrna-regulatory-network-construction-analysis, .github/skills/lncrna-regulatory-network-construction-analysis and .opencode/skills/lncrna-regulatory-network-construction-analysis in your project.

What does Lncrna Regulatory Network Construction Analysis need to run?

Going by SKILL.md and its folder, Lncrna Regulatory Network Construction Analysis needs R for the scripts in its folder.

Does Lncrna Regulatory Network Construction Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lncrna Regulatory Network Construction Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Lncrna Regulatory Network Construction Analysis use?

Lncrna Regulatory Network Construction Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lncrna Regulatory Network Construction Analysis use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 19M tokens, read only when the agent opens those files.

What are the alternatives to Lncrna Regulatory Network Construction Analysis?

Skills that share tags, products or a category with Lncrna Regulatory Network Construction Analysis: Scanpy Single-Cell Analysis (davila7/claude-code-templates, 33k stars), Single-Cell Initial Analysis (LigphiDonk/Oh-my--paper, 739 stars), Ukb Ppp Region Fetch (ClawBio/ClawBio, 1.2k stars) and Gwas Pipeline (ClawBio/ClawBio, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lncrna Regulatory Network Construction Analysis?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.