The role of longitudinal cohort studies in epigenetic epidemiology: challenges and
opportunities | Genome Biology Skip to main content SpringerLink Account Menu Find a journal …

For 2010, roughly 1446 original burn research articles were published in scientific journals
using the English language. This article reviews those with the most impact on burn …

Introduction Little is known about long term survival risk factors in critically ill burn patients
who survive hospitalization. We hypothesized that patients with major burns who survive …

Classifying patients into different risk groups based on their genomic measurements can
help clinicians design appropriate clinical treatment plans. To produce such a classification …

Background Longitudinally collected gene expression data provides an opportunity to
investigate the dynamic behavior of gene expression and is crucial for establishing causal …

Time-course high-throughput gene expression data are emerging in genomic and
translational medicine. Extracting interesting time-course patterns from a patient cohort can …

We consider a research scenario motivated by integrating multiple sources of information for
better knowledge discovery in diverse dynamic biological processes. Given two longitudinal …

We present a new statistical method using longitudinal gene expression to predict
quantitative outcomes of patients. Through simulations and application on a dataset of burn …

Biological systems are dynamic in nature, where time‐lagged correlations are commonly
observed. Motivated by the problem of integrating longitudinal high‐dimensional datasets …

Package ‘TSPC’ Page 1 Package ‘TSPC’ August 29, 2013 Type Package Title Prediction
using time-course gene expression Version 1.0 Date 2010-11-25 Author Yuping Zhang …