Robust informatics methods for accurate diagnosis using highly multiplexed virus arrays.
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).
Liu
Yang
Y
Center for Biomedical Informatics, and Dept. of Medicine, The University of Chicago, Il, USA.
Sam
Lee
L
Li
Jianrong
J
Lussier
Yves A
YA
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