openmedical/registry
← registry

pMoSS

imported

data/pmoss

pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to…

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
BSEL-UC3M
Country
unknown
Homepage
unknown
Repository
github.com/BSEL-UC3M/pMoSS
Documentation
unknown
Tags
big-data · bioinformatics-analysis · biostatistics · decay · group-comparison · hypothesis-testing · monte-carlo · monte-carlo-sampling
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • genome-browserbioinformatics-analysis · biostatistics

    Genome browser to visualize and analyze genomic data

  • containersbioinformatics-analysis

    Bioinformatics containers

  • drug-computingmonte-carlo

    Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

  • gcp-for-bioinformaticsbioinformatics-analysis

    GCP for Bioinformatics Researchers

  • OpenXRayMCmonte-carlo

    Monte Carlo radiation dose scoring application for diagnostic x-ray imaging

  • Robotics-EIE3monte-carlo

    Robotics assignments done as a coursework for CO333

sources
  1. api.github.com/repos/BSEL-UC3M/pMoSS
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-25, 16 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/33.json→ .entries["pmoss"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.