Source code for MissION

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Authors

Sean Gies · Synaptic Research (United States)

Artoghrul Alishbayli · Synaptic Research (United States)

Marijn Bart Martens · Synaptic Research (United States)

Paul Tiesinga · Radboud University Nijmegen

Abstract

This repository contains the complete source code for MissION, a machine learning classifier that predicts gain-of-function (GOF) vs loss-of-function (LOF) effects of ion channel missense mutations. This implementation is provided to support reproducibility of the MissION article.

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Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18944404

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Source code for MissION

Authors

Abstract

Topics & Keywords

Publication Details