Ontology highlight
ABSTRACT:
SUBMITTER: Kuijjer ML
PROVIDER: S-EPMC6463816 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Kuijjer Marieke Lydia ML Tung Matthew George MG Yuan GuoCheng G Quackenbush John J Glass Kimberly K
iScience 20190328
Biological systems are driven by intricate interactions among molecules. Many methods have been developed that draw on large numbers of expression samples to infer connections between genes (or their products). The result is an aggregate network representing a single estimate for the likelihood of each interaction, or "edge," in the network. Although informative, aggregate models fail to capture population heterogeneity. Here we propose a method to reverse engineer sample-specific networks from ...[more]