Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

Genome sequencing is widely recognized as a fundamental pillar in genetic research and
legal studies of biological phenomena, providing essential insights for genetic investigations …

Since its introduction into the field of oncology, deep learning (DL) has impacted clinical
discoveries and biomarker predictions. DL-driven discoveries and predictions in oncology …

Depression is a highly prevalent and disabling mental disorder, involving numerous genetic
changes that are associated with abnormal functions in multiple regions of the brain …

Spatially resolved transcriptomics (SRT) is a pioneering method for simultaneously studying
morphological contexts and gene expression at single-cell precision. Data emerging from …

Cellular communication through biochemical signaling is fundamental to every biological
activity. Investigating cell signaling diffusions across cell types can further help understand …

A limitation of current deep learning (DL) approaches for single-cell RNA sequencing
(scRNAseq) analysis is the lack of interpretability. Moreover, existing pipelines are designed …

The classification of DNA sequences using deep learning models offers promising avenues
for advancements in genomics and personalized medicine. This study provides a …