VissE: a versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis.

ABSTRACT: Functional analysis of high throughput experiments using pathway analysis is now ubiquitous. Though powerful, these methods often produce thousands of redundant results owing to knowledgebase redundancies upstream. This scale of results hinders extensive exploration by biologists and can lead to investigator biases due to previous knowledge and expectations. To address this issue, we present vissE, a flexible network-based analysis and visualisation tool that organises information into semantic categories and provides various visualisation modules to characterise them with respect to the underlying data, thus providing a comprehensive view of the biological system. We demonstrate vissE's versatility by applying it to three different technologies: bulk, single-cell and spatial transcriptomi

SUBMITTER: Bhuva DD 

PROVIDER: S-EPMC10854147 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature