As single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed, so have
analysis methods. Many methods have been tested, developed, and validated using …

Artificial-Intelligence-enabled voice assistants, such as Alexa and Siri, are increasingly
replacing search engines as consumers actively employ the former to accomplish a variety …

There are many different ways in which change point analysis can be performed, from purely
parametric methods to those that are distribution free. The ecp package is designed to …

Bots are the root cause of many security problems on the Internet, as they send spam, steal
information from infected machines, and perform distributed denial-of-service attacks. Many …

Background Clustering algorithms with steps involving randomness usually give different
results on different executions for the same dataset. This non-deterministic nature of …

The past decade has been marked with a proliferation of community detection algorithms
that aim to organize nodes (eg, individuals, brain regions, variables) into modular structures …

High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene
expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing …

Effective and precise grouping of highly similar sequences remains a major bottleneck in the
evaluation of high‐throughput sequencing datasets. Amplicon sequence variants (ASVs) …

Streptococcus agalactiae and Francisella noatunensis subsp. orientalis (Fno) are important
pathogens for farm‐raised tilapia worldwide. There are no reports of coinfection caused by …

Despite the accumulation of data and studies, deciphering animal vocal communication
remains challenging. In most cases, researchers must deal with the sparse recordings …