ic50-fit
Fit dose-response curves and calculate IC50/EC50 with confidence intervals using 4-parameter logistic regression.
Skill by yejunbin
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/yejunbin-ic50-fit
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ic50-fit
What's inside
- Skill name
ic50-fit- Description
- Fit dose-response curves and calculate IC50/EC50 with confidence intervals using 4-parameter logistic regression.
- License
- MIT
- Instructions
- 49 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# IC50 / EC50 Fitting Fit dose-response curves with nonlinear regression. ## Model 4-parameter logistic (4PL): ``` response = bottom + (top - bottom) / (1 + 10^((logIC50 - logConc) * hillSlope)) ``` ## Software - Python: scipy.optimize.curve_fit - R: drc package (drm function) - GraphPad Prism (reference standard) ## Validation - R² or pseudo-R² - Residual analysis - Visual inspection - Comparison with literature values ## Output ```markdown # Dose-Response: [compound] ## Fitted Parameters | Parameter | Estimate | 95% CI | SE | |-----------|----------|--------|-----| | IC50/EC50 | ... | ... | ... | | Hill Slope | ... | ... | ... | | Top | ... | ... | ... | | Bottom | ... | ... | ... | ## Model Quality - R²: ... - Residuals: ... ## Script [Attach analysis script] ## Plot [Attach dose-response plot] ``` Save to `outputs/ic50-<slug>.md` with script and plot.
From yejunbin/darwin, MIT.
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Signals
- Stars
- 7
- Forks
- 1
- Open issues
- 1
- Last commit (this folder)
- May 8, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yejunbin/darwin
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Run GPU workloads on Modal's serverless infrastructure.
SkillCFreshness: C★ 7Claude Code +9 - 0.534score
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Contribute changes to the Darwin repository itself.
SkillCFreshness: C★ 7Claude Code +9 - 0.531score
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Search and summarize clinical trials from ClinicalTrials.gov and EU CTR.
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Monitor bioRxiv and medRxiv preprints for a topic, author, or keyword.
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Look up gene information from HGNC, OMIM, ClinVar, and UniProt.
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ic50-fit skill. Agent Mart. https://agentmart.dev/skills/yejunbin-ic50-fit (last updated 2026-10-24)