Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease leading
to motor dysfunction and, in some cases, dementia. Transcriptome analysis is one promising …

Deconvolution of RNA sequencing data is a computational method used to estimate the
relative proportions of different cell types or subpopulations within a heterogeneous sample …

Microglia serve as a front-line defense against neuroinvasive viral infection, however,
determination of their actual transcriptional profiles under conditions of health and disease is …

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding
heterogeneity in complex biological samples, yet the technological discrepancy across …

Background: Cellular deconvolution of bulk RNA-sequencing (RNA-seq) data using single
cell or nuclei RNA-seq (sc/snRNA-seq) reference data is an important strategy for estimating …

In this paper, a novel multi-view gene expression network ensemble (M-GENE) pipeline has
been proposed to predict correlations between genes and phenotypes using bulk RNA-seq …

Relative cell type fraction estimates in bulk RNA-sequencing data are important to control for
cell composition differences across heterogenous tissue samples. Current computational …

Skeletal muscle possesses remarkable regenerative capabilities, fully recovering within a
month following severe acute damage. Central to this process are muscle satellite cells …

Precision medicine is part of 5 focus areas of the Challenges in IBD Research 2024
research document, which also includes preclinical human IBD mechanisms, environmental …

Genomic imprinting, the parent-of-origin-specific gene expression, plays a pivotal role in
growth regulation and is often dysregulated in cancer. However, screening for imprinting is …