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一分钟完成验证Python tools for Olink (PEA) proteomics data: read, check, bridge and analyse, with every step reported.
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查看完整 README ↗Python tools for Olink proteomics data: read, quality control, bridging and sample metadata, with every step reported.
signatomics is a family of Python tools for finding biomarker signatures in omics data. The
first module, signatomics.olink, works with Olink (PEA) proteomics data. More modules will
build on it later.
📖 Documentation: https://signatomics.elenastamatelou.com
Status: in development (version 0.0.1). The Olink module reads data, controls its quality, bridges plates and adds your sample metadata;
signatomics.statscompares groups and correlates. Functions may still change before the first release.
import signatomics.olink as so
data = so.read_npx(so.example_file()) # a synthetic example NPX file; your own: so.read_npx("my_npx_file.csv")
so.qc_report(data) # look at quality: your data stays as it is
clean = so.prepare(so.example_file()) # read, quality control, bridging and sample metadata in one call
Each step also exists on its own, with every choice visible: read_npx,
qc_report → apply_qc, bridge_check → bridge_plates, add_sample_info.
to_wide: one row per sample), then compare_groups and
correlate on every assay, with effect sizes, 95% intervals and an FDR; plot_volcano.pip install "signatomics[olink] @ git+https://github.com/ElenaStamatelou/signatomics"
Requires Python 3.10 or newer. See Start in 5 minutes.
| Module | Data | Status |
|---|---|---|
signatomics.olink | Olink (PEA) proteomics: Target 96/48, Explore, Explore HT, Reveal | in development |
signatomics.stats | compare groups, correlate: every assay, effect sizes, FDR | in development |
| core | one standard table, combining data types, biomarker signature with nested cross-validation | planned |
| more modules | e.g. ELISA, microbiome | ideas |
| Folder | What |
|---|---|
src/signatomics/ | the package |
tests/ | automatic tests (pytest) |
analyses/ | worked analyses of public data (Jupyter notebooks) |
website/ | the documentation website (MkDocs Material) |
docs/ | function reference pointer, notes on the example datasets |
Public datasets stay outside this repository; the only data inside are the small, synthetic example files of the package. See docs/datasets.md.
signatomics is an independent project. It is not affiliated with or endorsed by Olink or Thermo Fisher Scientific. Olink is a trademark of Thermo Fisher Scientific.