High-throughput image-based technologies are now widely used in the rapidly developing
field of digital phenomics and are generating ever-increasing amounts and diversity of data …

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 …

With more and more aspects of modern life and scientific tools becoming digitized, the
amount of data being generated is growing exponentially. Fast and efficient statistical …

Notch signaling receptors, ligands, and their downstream target genes are dysregulated in
pancreatic ductal adenocarcinoma (PDAC), suggesting a role of Notch signaling in …

The supplementary file contains (i) details of the SSLB algorithm;(ii) details of bicluster
quality metrics;(iii) additional figures for Simulations 1 and 2;(iv) results of Simulations 3 and …

Motivation Biclustering algorithms are commonly used for gene expression data analysis.
However, accurate identification of meaningful structures is very challenging and state-of-the …

Exploratory analysis of high throughput gene sample time (GST) data has an impact in
biomedical and bioinformatics research. Mining gene expression pattern in such three …

Red rice fully dormant seeds do not germinate even under favorable germination conditions.
In several species, including rice, seed dormancy can be removed by dry-afterripening …

BioScience is an advanced Python library designed to satisfy the growing data analysis
needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This …

To understand the underlying biological mechanisms of gene expression data, it is important
to discover the groups of genes that have similar expression patterns under certain subsets …