Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and
dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global
pandemic of coronavirus disease 2019 (COVID-19) since December 2019 that has led to …

Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the brain and the
most common form of dementia among the elderly. The single-cell RNA-sequencing (scRNA …

Processing raw reads of RNA-sequencing (RNA-seq) data, no matter public or newly
sequenced data, involves a lot of specialized tools and technical configurations that are …

Collaborative Filtering (CF) is achieving a plateau of high popularity. Still, recommendation
success is challenged by the diversity of user preferences, structural sparsity of user-item …

In this paper, we develop a healthcare biclustering model in the field of healthcare to reduce
the inconveniences linked to the data clustering on gene expression. The present study …

Background The effectiveness of biclustering, simultaneous clustering of rows and columns
in a data matrix, was shown in gene expression data analysis. Several researchers …

Single-cell RNA-sequencing (scRNA-seq) data widely exist in bioinformatics. It is crucial to
devise a distance metric for scRNA-seq data. Almost all existing clustering methods based …

Background Pancreatic cancer is a complex disease with a desmoplastic stroma, extreme
hypoxia, and inherent resistance to therapy. Understanding the signaling and adaptive …