The mission of the Biomedical Informatics Lab (BMIL) is to design cost-effective, computer-based decision aids. The BMIL develops decision support systems for clinical decision making and scientific discovery using artificial intelligence and signal processing technologies. The BMIL's research portfolio also includes projects in biometrics.

Wavelet-based adaptive denoising and baseline correction for MALDI TOF MS (2010) OMICS in press

Comparison of normalization methods for the identification of biomarkers using MALDI-TOF and SELDI-TOF mass spectra (2010) OMICS 14, 115-126.

The relationship between retinal ganglion cell axon constituents and fiber layer birefringence in the primate retinal nerve (2009) Investigative Ophthalmology and Visual Sciences 50, 5238-5246.

Probing the local tissue changes in the oral cavity for the early detection of cancer using oblique polarized reflectance spectroscopy: a pilot clinical trial (2008) Journal of Biomedical Optics 13, 024011.

Automated image analysis of digital colposcopy for the detection of cervical neoplasia (2008) Journal of Biomedical Optics 13, 014029.

Parametric power spectral density analysis of noise from instrumentation in MALDI TOF mass spectrometry (2007) Cancer Informatics 3, 317-328.

Guilt-by-association feature selection: identifying biomarkers from proteomic profiles (2007) Journal of Biomedical Informatics 41, 124-136.

Empirical comparison of tests for differential expression on time series microarray experiments (2007) Genomics 89, 460-470.

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