Single-cell approaches are quickly changing our view on biological systems by increasing
the spatiotemporal resolution of our analyses to the level of the individual cell. The field of …

Background In high-dimensional data (HDD) settings, the number of variables associated
with each observation is very large. Prominent examples of HDD in biomedical research …

In unsupervised machine learning, agreement between partitions is commonly assessed
with so-called external validity indices. Researchers tend to use and report indices that …

Statistical methods in integrative genomics aim to answer important biology questions by
jointly analyzing multiple types of genomic data (vertical integration) or aggregating the …

The single-cell multiomics technologies provide an unprecedented opportunity to study the
cellular heterogeneity from different layers of transcriptional regulation. However, the …

Motivation With the prevalent usage of microarray and massively parallel sequencing,
numerous high-throughput omics datasets have become available in the public domain …

Supplement 1 includes all the codes to generate the simulation and the data analyses
presented in the manuscript. It includes the data files used in the paper, and the simulations …

Cancer subtypes discovery is the first step to deliver personalized medicine to cancer
patients. With the accumulation of massive multi-level omics datasets and established …

Background Crouch gait pattern is a common gait pattern in children with diplegic cerebral
palsy with excessive knee flexion throughout stance phase. Few studies have grouped this …

To explore the Internet of things logistics system application, an Internet of things big data
clustering analysis algorithm based on K-mans was discussed. First of all, according to the …