Can Replication Save Noisy Microarray Data?

Can Replication Save Noisy Microarray Data?

Microarray experiments are multi-step processes. At each step-the growth of cultures, extraction of mRNA, reverse transcription, labelling, hybridization, scanning, and image analysis-variation and error cannot be completely avoided. Estimating the amount of such noise and variation is essential, not only to test for differential expression but also to suggest at which level replication is most...

cDNA Microarray Data Normalization

Kernel Analysis for Noisy Microarray Data

Microarray technique measures gene expression levels under various conditions, simultaneously. Microarray data are successfully analyzed by kernel methods for a variety of applications. A major drawback of microarray is technically error prone. To gain accurate analysis, we propose a method which produces a noise-tolerant kernel matrix. First of all, we devise a new distance function for microa...

Save Can

This article discusses the possibilities that a deeper engagement with the work of Gabriel Tarde opens for Actor-Network Theory (ANT). It argues that the combination of ANT’s methodological and analytical orientation and Tarde’s neo-monadology offers an appropriate framework for the study of new forms of political activism. Findings from an ethnographic research on the conflict surrounding the ...

Can lean save lives?

PURPOSE The purpose of this paper is to show how over the last 18 months Bolton Hospitals NHS Trust have been exploring whether or not lean methodologies, often known as the Toyota Production System, can indeed be applied to healthcare. DESIGN/METHODOLOGY/APPROACH This paper is a viewpoint. FINDINGS One's early experience is that lean really can save lives. The Toyota Production System is a...