Domain Workflows
Use this section as a cautious entrypoint for domain-specific bundles that point to nearby methods, figures, checks, and reporting pages.
Overview
Use this section when you are starting from a scientific task, assay, or domain-shaped dataset and need an orientation path before you know which analysis family fits best. Each page is meant to help a reader move from a scientific use case or dataset pattern toward the most relevant nearby docs pages.
These pages should not be read as proof that the product exposes one complete guided workflow for each domain. They are low-claim reading-order pages that reuse methods, figures, checks, and reporting guidance from elsewhere in the docs.
How this differs from Analysis Workflow Hubs
- Use Analysis Workflow Hubs when you already know the analysis family and want a method-centered reading order.
- Use Domain Workflows when you are starting from a scientific task or domain-shaped dataset and need an orientation bundle first.
- If you already need reporting rules, disclosure expectations, or submission-facing guidance, go to Reporting and Submission instead of starting here.
Quick routing
| If you are starting from... | Read this page | Why |
|---|---|---|
| concentration-response tables or dose-response style experiments | Dose-response Curves | It points to the nearest current non-linear regression and regression-figure guidance. |
| many screened features with volcano plot, heatmap, or compositional concerns | Multi-omics and Compositional Data | It keeps multiplicity review and compositional caution visible while orienting you to nearby docs. |
| a high-dimensional cell-feature matrix with PCA-style or clustering-style exploration | Flow Cytometry Data Analysis | It bundles the nearest exploratory multivariate, clustering, and heatmap-oriented pages. |
| survival-adjacent clinical endpoint questions | Clinical Trial Endpoints | It gives a cautious entrypoint to survival-adjacent reading paths. |
| repeated-measures experiments where independence and model choice stay important | Repeated Measures Experiments | It combines repeated-measures guidance with nearby design and model-check pages. |
Child pages
- Dose-response Curves for dose-response-like tables where non-linear regression and regression-style figures are the nearest current pages.
- Multi-omics and Compositional Data for exploratory bundles around volcano plot, heatmap, multiplicity review, and compositional warning.
- Flow Cytometry Data Analysis for exploratory multivariate bundles around PCA-style views, clustering-style views, heatmaps, and compositional caution.
- Clinical Trial Endpoints for cautious navigation across survival-adjacent pages.
- Repeated Measures Experiments for bundles that combine repeated-measures guidance with independence and model-suggestion checks.
Start here
- Start with Dose-response Curves when the dataset is closer to concentration-response tables or non-linear fit review than to a named analysis family.
- Start with Multi-omics and Compositional Data when many features are being screened and multiplicity or compositional caution should stay visible.
- Start with Flow Cytometry Data Analysis when the data look like a high-dimensional cell-feature matrix and the current need is exploratory structure review.
- Continue with Clinical Trial Endpoints for cautious navigation across survival-adjacent pages.
- Continue with Repeated Measures Experiments when repeated observations per unit shape the design question.
- Keep Known Limitations nearby if you are deciding how strongly to describe one domain bundle.
Reading note
- Domain workflow pages are orientation aids.
- They can point you toward the next useful docs pages, but they do not choose one workflow automatically and they do not imply ready-to-run pipelines.