Ontology highlight
ABSTRACT: Background
Development of cancer treatments such as antibody-based therapy relies on several factors across the drug-target axis, including the specificity of target expression and characterization of downstream signaling pathways. While existing tools for analyzing and visualizing transcriptomic data offer evaluation of individual gene-level expression, they lack a comprehensive assessment of pathway-guided analysis, relevant for single- and dual-targeting therapeutics. Here, we introduce VIBE (VIsualization of Bulk RNA Expression data), an R package which provides a thorough exploration of both individual and combined gene expression, supplemented by pathway-guided analyses. VIBE's versatility proves pivotal for disease stratification and therapeutic targeting in cancer and other
SUBMITTER: Khatri I
PROVIDER: S-EPMC11815282 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature