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Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy

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Published in:Journal of Molecular Neuroscience
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Molecular Neuroscience
description
discipline_display Psychiatry and Neurology
discipline_facet Psychiatry and Neurology
format Online Article
RSS Article
genre Journal Article
id rss_article:59198
institution FRELIP
journal_source_facet Journal of Molecular Neuroscience
last_indexed 2026-06-20T21:22:12.264Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
Psychiatry and Neurology
General
Psychiatry and Neurology
sub_discipline_display General
sub_discipline_facet General
subject_display Psychiatry and Neurology
General
Psychiatry and Neurology
subject_facet Psychiatry and Neurology
General
Psychiatry and Neurology
title Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_alt Análisis transcriptómico y múltiples enfoques de aprendizaje automático identifican ZDHHC20 y su gen altamente correlacionado AK5 como biomarcadores en la atrofia multisistémica
Analyse transcriptomique et multiples approches d'apprentissage automatique identifient ZDHHC20 et son gène hautement corrélé AK5 comme biomarqueurs dans l'atrophie multisystématisée
Análise Transcriptômica e Múltiplas Abordagens de Aprendizado de Máquina Identificam ZDHHC20 e seu Gene Altamente Correlacionado AK5 como Biomarcadores na Atrofia de Múltiplos Sistemas
title_auth Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_es_txt Análisis transcriptómico y múltiples enfoques de aprendizaje automático identifican ZDHHC20 y su gen altamente correlacionado AK5 como biomarcadores en la atrofia multisistémica
title_fr_txt Analyse transcriptomique et multiples approches d'apprentissage automatique identifient ZDHHC20 et son gène hautement corrélé AK5 comme biomarqueurs dans l'atrophie multisystématisée
title_full Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_fullStr Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_full_unstemmed Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_pt_txt Análise Transcriptômica e Múltiplas Abordagens de Aprendizado de Máquina Identificam ZDHHC20 e seu Gene Altamente Correlacionado AK5 como Biomarcadores na Atrofia de Múltiplos Sistemas
title_short Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy
title_sort transcriptomic analysis and multiple machine learning approaches identify zdhhc20 and its highly correlated gene ak5 as biomarkers in multiple system atrophy
topic Psychiatry and Neurology
General
Psychiatry and Neurology
url https://link.springer.com/article/10.1007/s12031-026-02541-w