Pathway enrichment analysis is indispensable for interpreting omics datasets and
generating hypotheses. However, the foundations of enrichment analysis remain elusive to …

Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer
and are responsible for imparting differential drug responses in cancer patients. Recently …

Trajectory inference methods have emerged as a novel class of single-cell bioinformatics
tools to study cellular dynamics at unprecedented resolution. Initial development focused on …

Although advances in single-cell technologies have enabled the characterization of multiple
omics profiles in individual cells, extracting functional and mechanistic insights from such …

Background: The cytoskeletal linker protein α-Catulin has been shown to be important for
tumor progression in various cancers. However, its role in the regulation of cancer stemness …

The identification and characterization of circulating tumor cells (CTCs) are important for
gaining insights into the biology of metastatic cancers, monitoring disease progression, and …

Combination therapy is a promising strategy for the successful treatment of cancer. The
large number of possible combinations, however, mean that it is laborious and expensive to …

The field of computational drug repurposing aims to uncover novel therapeutic applications
for existing drugs through high-throughput data analysis. However, there is a scarcity of drug …

Motivation Single-cell sequencing enables exploring the pathways and processes of cells,
and cell populations. However, there is a paucity of pathway enrichment methods designed …

Finding direct dependencies between genetic pathways and diseases has been the target of
multiple studies as it has many applications. However, due to cellular heterogeneity and …