Iterative random forests to discover predictive and stable high-order interactions 论文
2018Proceedings of the National Academy of Sciences引用 310
Bioinformatics and Genomic NetworksEvolutionary Algorithms and ApplicationsGenomics and Chromatin Dynamics
详细信息
- 发表期刊/会议
- Proceedings of the National Academy of Sciences
- 发表日期
- 2018-01-19
- 发表年份
- 2018
关键词
Bioinformatics and Genomic NetworksEvolutionary Algorithms and ApplicationsGenomics and Chromatin Dynamics
摘要
), suggest high-order relationships that are candidates for follow-up experiments. In human-derived cells, iRF rediscovered a central role of H3K36me3 in chromatin-mediated splicing regulation and identified interesting fifth- and sixth-order interactions, indicative of multivalent nucleosomes with specific roles in splicing regulation. By decoupling the order of interactions from the computational cost of identification, iRF opens additional avenues of inquiry into the molecular mechanisms underlying genome biology.