In Silico Analysis Highlights Potential Predictive Indicators Associated with Secondary Progressive Multiple Sclerosis
M Calabrò, M Lui, E Mazzon, S D'Angiolini - International Journal of …, 2024 - mdpi.com
Multiple sclerosis (MS) is a complex inflammatory disease affecting the central nervous
system. Most commonly, it begins with recurrent symptoms followed by partial or complete …
system. Most commonly, it begins with recurrent symptoms followed by partial or complete …
Network Analysis Performed on Transcriptomes of Parkinson's Disease Patients Reveals Dysfunction in Protein Translation
S D'Angiolini, M Lui, E Mazzon, M Calabrò - International Journal of …, 2024 - mdpi.com
Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by the
progressive degeneration of dopaminergic neurons in the substantia nigra region of the …
progressive degeneration of dopaminergic neurons in the substantia nigra region of the …
Special Issue on Differential Gene Expression and Coexpression
The most common approach in transcriptomics (RNA-seq and microarrays) is differential
gene expression analysis (DGEA). Differentially expressed genes (DEGs) may be …
gene expression analysis (DGEA). Differentially expressed genes (DEGs) may be …
Comparison of Methods of Estimating Variance Components in Dual Channel Microarray Applied in Split-Plot Designs
IO Ude, AV Oladugba, UC Onwuamaeze… - International Journal of …, 2023 - ijmttjournal.org
The quality of estimation of variance components depends on the design used as well as on
the unknown values of the variance components. In this article, three designs (split-plot …
the unknown values of the variance components. In this article, three designs (split-plot …