Journal of Computer Science & Systems Biology

Shuang Jia

Publications

• Research Article
  Quality Weighted Mean and T-test in Microarray Analysis Lead to Improved Accuracy in Gene Expression Measurements and Reduced Type I and II Errors in Differential Expression Detection
  Author(s): Shouguo Gao, Shuang Jia, Martin Hessner and Xujing WangShouguo Gao, Shuang Jia, Martin Hessner and Xujing Wang
  
  Previously we have reported a microarray image processing and data analysis package Matarray, where quality scores are defined for every spot that reflect the reliability and variability of the data acquired from each spot. In this article we present a new development in Matarray, where the quality scores are incorporated as weights in the statistical evaluation and data mining of microarray data. With this approach filtering of poor quality data is automatically achieved through the reduction in their weights, thereby eliminating the need to manually flag or remove bad data points, as well as the problem of missing values. More significantly, utilizing a set of control clones spiked in at known input ratios ranging from 1:30 to 30:1, we find that the quality-weighted statistics leads to more accurate gene expression measurements and more sensitive detecti.. Read More»
  DOI: 10.4172/jcsb.1000003

  Abstract PDF