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We describe a new approach to analyze chirp syllables of free-tailed bats from two regions...
In this paper, we introduce classification of complex high dimensional functional data in the functional...
In recent years, developments in molecular biotechnology have led to the increased promise of detecting...
Image data are increasingly encountered and are of growing importance in many areas of science....
Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead...
Array-based comparative genomic hybridization (aCGH) is a high-resolution high-throughput technique for studying the genetic basis...
Frequently, exposure data are measured over time on a grid of discrete values that collectively...
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Motivation: One of the key limitations for proteomic studies using 2-dimensional gel electrophoresis (2DE) is...
In this paper, we analyze MALDI-TOF mass spectrometry proteomics data using Bayesian wavelet-based functional mixed...
We present a case study illustrating the challenges of analyzing accelerometer data taken from a...
Wavelet-based Functional Mixed Models is a new Bayesian method extending mixed models to irregular functional...
Increasingly, Increasingly, scientific studies yield functional data, in which the ideal units of observation are...
In this chapter, we demonstrate how to analyze MALDI-TOF/SELDITOF mass spectrometry data using the wavelet-based...
Background: Mass spectrometry, especially surface enhanced laser desorption and ionization (SELDI) is increasingly being used...
Motivation: Mass spectrometry yields complex functional data for which the features of scientific interest are...
In this article we develop new methods for analyzing the data from an experiment using...
This paper is concerned with modeling the architecture of colonic crypts and the implications of...
An important problem in studying the etiology of colon cancer is understanding the relationship between...
Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand...
2-DE is an important method for proteomics. Accurate spot detection and quantification on the resulting...
Whilst recent progress in ‘shotgun’ peptide separation by integrated liquid chromatography and mass spectrometry (LC/MS)...
Proteomic profiling has the potential to impact the diagnosis, prognosis, and treatment of various diseases....
Proteomics, the large-scale study of protein expression in organisms, offers the potential to evaluate global...
Proteomics holds the promise of evaluating global changes in protein expression and post-translational modificaiton in...
We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry...
High throughput biological assays supply thousands of measurements per sample, and the sheer amount of...
We review the use of semi-parametric mixture models for Bayesian inference in high throughput genomic...
Background: Mass spectrometry is actively being used to discover disease-related proteomic patterns in complex mixtures...
Proteomic patterns derived from mass spectrometry have recently been put forth as potential biomarkers for...
Proteomic expression patterns derived from mass spectrometry have been put forward as potential biomarkers for...
Proteomic profi ling of serum initially appeared to be dramatically effective for diagnosis of early-stage...
Motivation: There has been much interest in using patterns derived from surface-enhanced laser desorption and...
Background: Recently, researchers have been using mass spectroscopy to study cancer. For use of proteomics...
For our analysis of the data from the First Annual Proteomics Data Mining Conference, we...
A recent article published in The Annals of Applied Statistics (AOAS) by two MD Anderson...
Many published microarray studies have small to moderate sample sizes, and thus have low statistical...
In this paper we discuss some of the statistical issues that should be considered when...
Serial Analysis of Gene Expression (SAGE) is a technique for estimating the gene expression profile...
Our goal in this work is to pool information across microarray studies conducted at different...
Background: Two major identifiable sources of variation in data derived from the Serial Analysis of...
Motivation: In contrasting levels of gene expression between groups of SAGE libraries, the libraries within...
Serial analysis of gene expression (SAGE) is a technology for quantifying gene expression in biological...
In the setting of mixed models, some researchers may construct a semiparametric bootstrap by sampling...
Background: Accurate measures of the total polyp burden in familial adenomatous polyposis (FAP) are lacking....
