Using machine learning to predict pathogenicity of genomic variants throughout the human genome

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Berlin, Humboldt-Universität zu Berlin, Dissertation, 2022

Keyword: Maschinelles Lernen
Bioinformatik
Merkmalsextraktion
Automatische Klassifikation
Data Mining

Event: Veröffentlichung

(where): Berlin

(who): Humboldt-Universität zu Berlin

(when): 2023

Creator: Rentzsch, Philipp

Contributor: Ohler, Uwe
Seelow, Dominik
Krawitz, Peter

DOI: 10.18452/26247

URN: urn:nbn:de:kobv:11-110-18452/27075-8

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:49 AM CEST

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Associated

Rentzsch, Philipp
Ohler, Uwe
Seelow, Dominik
Krawitz, Peter
Humboldt-Universität zu Berlin

Time of origin

2023

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Using machine learning to predict pathogenicity of genomic variants throughout the human genome

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Other Objects (12)

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PDIVAS: Pathogenicity predictor for Deep-Intronic Variants causing Aberrant Splicing

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