title: Fused Regression for Multi-source Gene Regulatory Network Inference.
abstract: Understanding gene regulatory networks is critical to understanding cellular differentiation and response to external stimuli. Methods for global network inference have been developed and applied to a variety of species. Most approaches consider the problem of network inference independently in each species, despite evidence that gene regulation can be conserved even in distantly related species. Further, network inference is often confined to single data-types (single platforms) and single cell types. We introduce a method for multi-source network inference that allows simultaneous estimation of gene regulatory networks in multiple species or biological processes through the introduction of priors based on known gene relationships such as orthology incorporated using fused regression. This approach improves network inference performance even when orthology mapping and conservation are incomplete. We refine this method by presenting an algorithm that extracts the true conserved subnetwork from a larger set of potentially conserved interactions and demonstrate the utility of our method in cross species network inference. Last, we demonstrate our method's utility in learning from data collected on different experimental platforms.
authors.affiliation: New York University, New York, New York, United States of America.
authors.forename: Kari Y
authors.initials: KY
authors.lastname: Lam
authors.affiliation: New York University, New York, New York, United States of America.
authors.forename: Zachary M
authors.initials: ZM
authors.lastname: Westrick
authors.affiliation: Simons Foundation, New York, New York, United States of America.
authors.forename: Christian L
authors.initials: CL
authors.lastname: Müller
authors.affiliation: New York University, New York, New York, United States of America.
authors.forename: Lionel
authors.initials: L
authors.lastname: Christiaen
authors.affiliation: New York University, New York, New York, United States of America.|Simons Foundation, New York, New York, United States of America.
authors.forename: Richard
authors.initials: R
authors.lastname: Bonneau
mesh_terms: D000465:Algorithms; D001407:Bacillus / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial / Q000235:genetics*; D053263:Gene Regulatory Networks / Q000235:genetics*; D008957:Models, Genetic; D012044:Regression Analysis