With the development of single‐cell RNA sequencing technology (scRNA‐seq), we have the
ability to study biological questions at the level of the individual cell transcriptome …

Single-cell RNA sequencing (scRNA-seq) is widely used to reveal heterogeneity in cells,
which has given us insights into cell–cell communication, cell differentiation, and differential …

In the era of single-cell sequencing, there is a growing need to extract insights from data with
clustering methods. Here, we introduce Forest Fire Clustering, an efficient and interpretable …

Since the discovery of this cell population by His in 1850, the neural crest has been under
intense study for its important role during vertebrate development. Much has been learned …

The advent of single-cell sequencing is providing unprecedented opportunities to
disentangle tissue complexity and investigate cell identities and functions. However, the …

In the recent years, there has been an increasing amount of single-cell sequencing studies,
producing a considerable number of new data sets. This has particularly affected the field of …

Colorectal cancer (CRC) is highly heterogeneous with variable survival outcomes and
therapeutic vulnerabilities. A commonly used classification system in CRC is the Consensus …

Ischemic heart disease including myocardial infarction is still the leading cause of death
worldwide. Although the survival early after myocardial infarction has been significantly …

Time series single-cell RNA sequencing (scRNA-seq) data are emerging. However,
dynamic inference of an evolving cell population from time series scRNA-seq data is …

Background Genomics data is available to the scientific community after publication of
research projects and can be investigated for a multitude of research questions. However, in …