Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as
biological signals representing no or low gene expression, while others regard zeros as …

The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …

Single‐cell technologies are revolutionizing biology but are today mainly limited to imaging
and deep sequencing. However, proteins are the main drivers of cellular function and in …

Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …

Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

Single-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at
the single-cell level and possess an unprecedented potential for exploring signatures …

Transcriptome sequencing or RNA-Sequencing is a high-resolution, sensitive and high-
throughput next-generation sequencing (NGS) approach used to study non-model plants …

Glioblastoma (GBM) is the most invasive and deadliest brain cancer in adults. Its inherent
heterogeneity has been designated as the main cause of treatment failure. Thus, a deeper …

Arteriogenesis rather than unspecialized capillary expansion is critical for restoring effective
circulation to compromised tissues in patients. Deciphering the origin and specification of …

Type 2 diabetes mellitus is one of the most prevalent metabolic diseases presenting with
systemic pathologies, including reproductive disorders in male diabetic patients. However …