北京雁栖湖应用数学研究院

邬荣领 , 张蓥莹

董昂

2023年11月08日 14:00 至 15:45

Shuangqing-B725

The past few years have seen the development of powerful computational models for reconstructing informative, dynamic, omnidirectional, and personalized networks (idopNetworks) of complex systems. We pack an R-based cartographic tool for idopNetwork reconstruction from any data. The tool includes several key steps, including fitting power curve fitting based on allometrical scaling law, functional clustering, LASSO-based variable selection, quasi-dynamic ordinary differential equation solving, species abundance decomposition and network visualization. Ultimately, it can coalesce all nodes into multilayer idopNetworks. We demonstrate the utility of this tool by analyzing different organs that are spatially interconnected via microbiomes using two datasets from the gut microbiota and plant microbiota. Given that biodiversity and organization vary biogeographically at different scales, idopNetwork will find its widespread application to modelling and estimating interspecific interactions with differing functions across space.

北京雁栖湖应用数学研究院助理研究员，研究方向为统计建模与复杂生物系统机理解析，主要从事复杂系统多尺度调控网络的构建与分析。2023年获北京林业大学计算生物学博士学位，随后在北京雁栖湖应用数学研究院从事博士后研究工作。已在 PNAS、Nature Communications、Methods in Ecology and Evolution 等重要期刊发表论文20余篇，其中第一作者SCI论文4篇、共同第一作者2篇、通讯作者1篇。