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@pni-lab

PNI - Predictive Neuroimaging Lab, University Hospital Essen, Germany

Welcome to the github profile of the Predictive NeuroImaging Lab

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Visit our website: https://pni-lab.github.io

Important links:

➡️ pTFCE: probabilistic threshold-free cluster enhancement (SPM-toolbox and R package)

GitHub licenseGitHub releaseGitHub issuesGitHub issues-closed

➡️ RPN-signature: resting state network signature of pain sensitivity.

GitHub licenseGitHub releaseCircleCICircleCI2Docker BuildDocker PullsGitHub issuesGitHub issues-closed

➡️ CTP-signature: cortical thickness signature of pain sensitivity

➡️ Statistical quantification of confounding-bias in predictive modelling

  • mlconfound: python package for analyzing and quantifying effects of counfounder variables on machine learning model predictions

GitHub licenseGitHub releaseGitHub CIDocumentation StatusarXivGitHub issuesGitHub issues-closedBinder

arXivlintexDocumentation Status.

➡️ PUMI: nipype-based modular workflow management system.

GitHubGitHub Workflow StatusDocker Image Version (latest semver)Docker Image Size (latest semver)GitHub issuesGitHub closed issues

➡️ ALIIAS: (Pseudo)Anonymization with LimeSurvey integration and II-factor Authentication for Scientific research

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  1. mlconfoundmlconfoundPublic

    Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.

    Jupyter Notebook 7

  2. mlconfound-manuscriptmlconfound-manuscriptPublic

    Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

    Jupyter Notebook 1 1

  3. RPN-signatureRPN-signaturePublic

    Forked from spisakt/RPN-signature

    Supplementary analasys for The Resting-state Pain susceptibility Network signature.

    Jupyter Notebook 1

  4. old_websiteold_websitePublic

    Website of the PNI research lab

    HTML 1

  5. ALIIASALIIASPublic

    Python 1 1

  6. predmod_lecturepredmod_lecturePublic

    Jupyter Book "Introduction to predictive modelling"

    Jupyter Notebook

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