See the abstract below: Methods for the analysis of time series single cell expression data (scRNA-Seq ... and -st for initialized structure). This specifies the single cell RNA-Seq expression data.

We present ScPace, a novel approach for timestamp calibration in time-series single-cell RNA sequencing (scRNA-seq) data. This method tackles the significant issue of noisy timestamps in time-series ...

To maintain its effectiveness, the immune system produces highly specialized cell types that work together to prevent, preserve the memory and eliminate threats (1). Meanwhile, human immune system ...

Single nucleus RNA sequencing (snRNA-seq), an alternative to single cell RNA sequencing (scRNA-seq), encounters technical challenges in obtaining high-quality nuclei and RNA, persistently hindering ...

The field was further propelled forward by the development of single-cell (sc) RNA-seq technologies, offering an even broader and more integrated ... states of health and disease, all across time and ...

163.com Objectives The heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various ...

The Single Cell & Transcriptomics Core provides cost-effective and time-efficient access to cutting-edge ... next generation and third generation sequencing technologies, microarrays, Nanostring ...

While traditional approaches struggle to handle the immense amount of data generated from measuring both RNA and protein ... of data from a single-cell technology known as CITE-seq.

Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq ... heterogeneity remains a topic of great ...

“The availability of Full-Length DRUG-seq is the latest in a series ... RNA samples for sequencing in a single tube. Traditional preparation of samples for RNA sequencing is expensive and time ...