Related Experiment Video

Updated: Jul 1, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.0K

Unveiling an ALS Blood Transcriptomic Signature: A Machine Learning Classifier Distinct from Neurodegenerative

Elisa Gascón1,2,3,4, Ana Cristina Calvo1,2,3,4, Pilar Zaragoza1,2,3,4

  • 1LAGENBIO, Faculty of Veterinary, University of Zaragoza, Miguel Servet 177, 50013, Zaragoza, Spain.

Neuroinformatics
|April 28, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Amyotrophic lateral sclerosisBiomarkersMachine learningNeurodegenerative diseasesNeuroinflammationPeripheral bloodTranscriptomics

More Related Videos

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

6.2K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.6K

Related Concept Videos

Alzheimer Disease l: Introduction01:29

Alzheimer Disease l: Introduction

Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...