title: Robust informatics methods for accurate diagnosis using highly multiplexed virus arrays.
abstract: To address the limitations of traditional pathogen detection methodologies in clinical diagnosis, scientists have developed oligonucleotide microarrays. However, pathogen array interpretation remains challenging because of false positive probes. We conceived a novel computational method to interpret these arrays. In an evaluation using clinical samples, our method was compared to five others. Though most methods showed high specificity and sensitivity, only the proposed method showed significant advantages in positive predictive value (2-60 fold increase).
authors.affiliation: Center for Biomedical Informatics, and Dept. of Medicine, The University of Chicago, Il, USA.
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Lee
authors.initials: L
authors.lastname: Sam
authors.forename: Jianrong
authors.initials: J
authors.lastname: Li
authors.forename: Yves A
authors.initials: YA
authors.lastname: Lussier
mesh_terms: D001424:Bacterial Infections / Q000175:diagnosis; D001330:Electronic Data Processing; D007239:Infections / Q000175:diagnosis* / Q000382:microbiology / Q000469:parasitology; D009181:Mycoses / Q000175:diagnosis; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010272:Parasitic Diseases / Q000175:diagnosis; D012680:Sensitivity and Specificity; D014777:Virus Diseases / Q000175:diagnosis