title: Complementarity between distance- and probability-based methods of gene neighbourhood identification for pathway reconstruction.
abstract: Identifying gene neighbourhoods using either distance- or probability-based measures has proven effective in retrieving co-functional links. We report that these two approaches are highly complementary, with differential sensitivity for the core pathway links. We demonstrate that integrating these measures improves prediction of both pathways and phenotypes.
authors.affiliation: Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea. insuklee@yonsei.ac.kr.
authors.forename: Junha
authors.initials: J
authors.lastname: Shin
authors.forename: Tak
authors.initials: T
authors.lastname: Lee
authors.forename: Hanhae
authors.initials: H
authors.lastname: Kim
authors.forename: Insuk
authors.initials: I
authors.lastname: Lee
mesh_terms: D001105:Archaea / Q000235:genetics; D001419:Bacteria / Q000235:genetics; D017124:Conserved Sequence / Q000235:genetics*; D004194:Disease / Q000209:etiology / Q000235:genetics*; D006801:Humans; D011336:Probability; D015398:Signal Transduction / Q000235:genetics*