mEBT: multiple-matching evidence-based translator of murine genomic responses for human immunity studies.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 29850767.
- Also identified by DOI 10.1093/bioinformatics/bty431.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In this paper, we introduce multiple-matching Evidence-based Translator (mEBT) to discover genomic responses from murine expression data for human immune studies, which are significant in the given condition of mice and likely have similar responses in the corresponding condition of human. mEBT is evaluated over multiple datasets and shows improved inter-species agreement. mEBT is expected to be useful for research groups who use murine models to study human immunity. http://cdal.korea.ac.kr/mebt/. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Genomics
- Immunity