Enhancing immuno-oncology investigations through multidimensional decoding of tumor microenvironment with IOBR 2.0.

ABSTRACT: The use of large transcriptome datasets has greatly improved our understanding of the tumor microenvironment (TME) and helped develop precise immunotherapies. The growing application of multi-omics, single-cell RNA sequencing (scRNA-seq), and spatial transcriptome sequencing has led to many new insights, yet these findings still require clinical validation in large cohorts. To advance multi-omics integration in TME research, we have upgraded the Immuno-Oncology Biological Research (IOBR) package to IOBR 2.0, restructuring and standardizing its analytical workflow. IOBR 2.0 offers six modules for TME analysis based on multi-omics data, including data preprocessing, TME estimation, TME infiltration pattern identification, cellular interaction analysis, genome and TME interaction, and feature

SUBMITTER: Zeng D 

PROVIDER: S-EPMC11704618 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature