Highlights•Chronic diseases involve deregulated organ–organ crosstalk.•Interorgan
communication yields multiorgan locked biological states.•Biological locked states stabilize …

Large-scale high-throughput transcriptome sequencing data holds significant value in
biomedical research. However, practical challenges such as difficulty in sample acquisition …

Tropical diseases can often be caused by viruses, bacteria, parasites, and fungi. They can
be spread over vectors. Analysis of multiple omics data types can be utilized in providing …

In this study, we introduce StructmRNA, a new BERT-based model that was designed for the
detailed analysis of mRNA sequences and structures. The success of DNABERT in …

In this paper, a novel multi-view gene expression network ensemble (M-GENE) pipeline has
been proposed to predict correlations between genes and phenotypes using bulk RNA-seq …

The emergence of infectious disease and antibiotic resistance in bacteria like Escherichia
coli (E. coli) shows the necessity for novel computational techniques for identifying essential …

Single‑cell RNA sequencing (scRNA‑Seq) provides detailed insight into gene expression at
the individual cell level, revealing hidden cell diversity. However, scRNA‑Seq data pose …

Accurately predicting drug response depending on a patient's genomic profile is critical for
advancing personalized medicine. Deep learning approaches rise and especially the rise of …

The creation of synthetic data through generative modeling has emerged as a significant
area of research in genomics, offering versatile applications from tailoring functional …

Data augmentation is a common practice in image classification, employing methods such
as reflection, random cropping, re-scaling, and transformations to enhance training data …