Investigators have two important questions to consider when evaluating microarray expression data. First, they must ask whether the results are valid—in other words, accurate—for the particular ...

An application of great interest in microarray data analysis is the identification of a group of genes that show very similar patterns of expression in a data set, and are expected to represent groups ...

Intense Dose-Dense Sequential Chemotherapy With Epirubicin, Paclitaxel, and Cyclophosphamide Compared With Conventionally Scheduled Chemotherapy in High-Risk Primary Breast Cancer: Mature Results of ...

This study aims to identify potential biomarkers of hepatocellular carcinoma (HCC) occurrence/recurrence and obesity, along with the molecular mechanisms that involve these biomarkers. Three ...

Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel ...

Consider the ranking of genes using data from replicated microarray time course experiments, where there are multiple biological conditions, and the genes of interest are those whose temporal profiles ...

The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading their offerings and ...

The power and promise of microarrays are vast. Offering the ability to run tens of thousands of experiments in parallel on a small glass slide, gene chips have transformed functional genomics, whether ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...