Motivation: Peaks are the key information in mass spectrometry (MS) which has been
increasingly used to discover diseases-related proteomic patterns. Peak detection is an …

Measured microarray genomic and metabolic data are a rich source of information about the
biological systems they represent. For example, time-series biological data can be used to …

The availability of high resolution array comparative genomic hybridization (CGH) platforms
has led to increasing complexities in data analysis. Specifically, defining contiguous regions …

Motivation: Solenoid proteins are emerging as a protein class with properties intermediate
between structured and intrinsically unstructured proteins. Containing repeating structural …

By integrating Haar wavelets with Hidden Markov Models, we achieve drastically reduced
running times for Bayesian inference using Forward-Backward Gibbs sampling. We show …

Abstract Supported by National Science Foundation (NSF), International Society of
Intelligent Biological Medicine (ISIBM), International Journal of Computational Biology and …

The main focus in pin‐tip (or print‐tip) microarray analysis is determining which probes,
genes, or oligonucleotides are differentially expressed. Specifically in array comparative …

Bioinformatics and systems biology are two booming research areas studying live
organisms. Though having different focuses, bioinformatics and systems biology often share …

Biological measurements are a rich source of information about the biological phenomena
that are represented. For example, time-series dynamic genomic or metabolic microarray …

Most existing array comparative genomic hybridization (array CGH) data processing
methods and evaluation models assumed that the probability density function (pdf) of noise …