H. W. Ressom

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We present a novel method that combines ant colony optimization with support vector machines (ACO-SVM) to select candidate biomarkers from MALDI-TOF serum profiles of hepatocellular carcinoma (HCC) patients and matched controls. The method identified relevant mass points that achieve high sensitivity and specificity in distinguishing HCC patients from(More)
In this paper, we present a computational method to estimate chlorophyll a (Chl a) concentration from remotely sensed reflectance (Rrs) measurements. The proposed method integrates two computational intelligence paradigms, a fuzzy c-means (FCM) cluster analysis and an ensemble of artificial neural networks (ANNs). This approach will be particularly useful(More)
We present a novel algorithm combining artificial neural networks and swarm intelligence (SI) methods to infer network interactions. The algorithm uses ant colony optimization (ACO) to identify the optimal architecture of a recurrent neural network (RNN), while the weights of the RNN are optimized using particle swarm optimization (PSO). Our goal is to(More)
We present a computational framework to analyze MALDI-TOF mass spectrometry data for quantitative comparison of peptides and glycans in serum. In particular, we introduce an algorithm that detects peaks that are differentially abundant in a subgroup of patients. The method is applied to identify candidate biomarkers in serum samples of 203 participants from(More)
Motivation: Due to the large number of peaks in mass spectra of low-molecular-weight (LMW) enriched sera, a systematic method is needed to select a parsimonious set of peaks to facilitate biomarker identification. We present computational methods for matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) spectral data preprocessing and peak(More)
Light availability to seagrasses is a major criterion limiting the distribution of seagrasses. Decreased water clarity and resulting reduced light penetration have been cited as major factors responsible for the decline in seagrasses. Light attenuation coefficient is an important parameter that indicates the light attenuated by the water column and can(More)
The design principles of gene transcriptional regulation networks in cells have been puzzles due to their unknown dynamic and nonlinear mechanisms. Although high-throughput biotechnologies have generated unprecedented amounts of data, the integration of multi-source data to better understand the process of gene regulation has been a challenge in post(More)
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