POC MODULE

Dense Module Enumeration in Biological Networks

Automatic discovery of functional complexes from protein interaction data is a rewarding but challenging problem. While previous approaches use approximations to extract dense modules, our approach exactly solves the problem of dense module

快速床旁(POC)乙肝筛查项目的准确性

  一项源于全球数据的荟萃分析结果表明：基于抗原的快速point-of-care（POC）方法来筛查乙型肝炎病毒感染的方法通常是非常准确的，但是基于抗体的筛查的敏感性则有待进一步提高。这一结果在线发表于5月29日美国胃肠病学院的官方杂志《The American journal of gastroenterology》上。     据估计，全球有数千万人感染乙肝，其中四百万为急性传染期病人。在一些低收入和偏远地区，快速的POC乙肝筛查可能是替代实验室检查的重要

Directed Module Detection in a Large-Scale Expression Compendium

Public online microarray databases contain tremendous amounts of expression data. Mining these data sources can provide a wealth of information on the underlying transcriptional networks. In this chapter, we illustrate how the web services