Background The development of single-cell RNA sequencing (scRNA-seq) has enabled
scientists to catalog and probe the transcriptional heterogeneity of individual cells in …

Although spinal muscular atrophy (SMA) is a motor neuron disease caused by the loss of
survival of motor neuron (SMN) proteins, there is growing evidence that non-neuronal cells …

The rumen is the hallmark organ of ruminants and hosts a diverse ecosystem of
microorganisms that facilitates efficient digestion of plant fibers. We analyzed 897 …

Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data
plays a critical role in a variety of scRNA-seq analysis studies. This task corresponds to …

In recent years, feature selection has become an increasingly active field of data science
and machine learning research. Most of the datasets that are being used nowadays for …

Single-cell RNA sequencing technology provides a tremendous opportunity for studying
disease mechanisms at the single-cell level. Cell type identification is a key step in the …

When analyzing scRNA-seq data containing heterogeneous cell populations, an important
task is to select informative marker genes to distinguish various cell clusters and annotate …

Big data methods prevail in the biomedical domain leading to effective and scalable data-
driven approaches. Biomedical data are known for their ultra-high dimensionality, especially …

Single-cell transcriptome sequencing (scRNA-seq) enabled investigations of cellular
heterogeneity at exceedingly higher resolutions. Identification of novel cell types or transient …

Gene Biomarkers is valuable to the medical mechanism and drug targets. But it is very hard
to find the accurate biomarkers. The traditional bioinfomatical methods and machine …