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.