Cargando…
Machine Learning Analysis of Alzheimer’s Disease Single-Cell RNA-Sequencing Data across Cortex and Hippocampus Regions
Advancements in molecular biology have revolutionized our understanding of complex diseases, with Alzheimer’s disease being a prime example. Single-cell sequencing, currently the most suitable technology, facilitates profoundly detailed disease analysis at the cellular level. Prior research has esta...
Autores principales: | Krokidis, Marios G., Vrahatis, Aristidis G., Lazaros, Konstantinos, Skolariki, Konstantina, Exarchos, Themis P., Vlamos, Panagiotis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670182/ https://www.ncbi.nlm.nih.gov/pubmed/37998721 http://dx.doi.org/10.3390/cimb45110544 |
Ejemplares similares
-
Revolutionizing the Early Detection of Alzheimer’s Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning
por: Vrahatis, Aristidis G., et al.
Publicado: (2023) -
Assessing and Modelling of Post-Traumatic Stress Disorder Using Molecular and Functional Biomarkers
por: Skolariki, Konstantina, et al.
Publicado: (2023) -
COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods
por: Constantinou, Marios, et al.
Publicado: (2023) -
A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes
por: Krokidis, Marios G., et al.
Publicado: (2022) -
In Silico Structural Analysis Exploring Conformational Folding of Protein Variants in Alzheimer’s Disease
por: Efraimidis, Evangelos, et al.
Publicado: (2023)