Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data
本文分析从共同前体细胞形成成熟红细胞和血小板的复杂调控网络，利用最新PCR基因组数据开发图形模型，从高维部分观测数据中推断调控网络。
Abstract Haematopoiesis is the process of blood cells’ formation, with progenitor stem cells differentiating into mature forms such as white and red blood cells or platelets. While progenitor cells share regulatory pathways involving common nuclear factors, specific networks shape their fate towards particular lineages. This paper analyses the complex regulatory network that drives the formation of mature red blood cells and platelets from their common precursors. Using the latest reverse transcription quantitative real-time PCR genomic data, we develop a dedicated graphical model that incorporates the effect of external genomic data and allows inference of regulatory networks from the high-dimensional and partially observed data.