Paper Title:
A Powerful Discovery Procedure for Large-Scale Significance Testing, with Application to Comparative Microarray Experiments in Response to Different Biomaterials
  Abstract

Several biomaterials have been widely used in the treatment of cancer. However, how these biomaterials alter gene expression is poorly understood. The problem of identifying genes that are differentially expressed across varying biological conditions or in response to different biomaterials based on microarray data is a typical multiple testing problem. In this paper, we focus on FDR control for large-scale multiple testing problems, by our proposed statistics and resampling method, a powerful FDR controlling procedure for large-scale multiple testing problems is provided. Simulations show that, our Fiducial estimator is accurate and stable than other five traditional methods, with satisfactory FDR control. In particular, we propose a generally applicable estimate of the proposed procedure for identifying differentially expressed genes in microarray experiments. This microarray method consistently shows favorable performance over the existing methods. For example, in testing for differential expression between two breast cancer tumor types, the proposed procedure provides increases from 37% to 127% in the number of genes called significant at a false discovery rate of 3%.

  Info
Periodical
Advanced Materials Research (Volumes 311-313)
Chapter
Biomaterials
Edited by
Zhongning Guo
Pages
1661-1666
DOI
10.4028/www.scientific.net/AMR.311-313.1661
Citation
P. Jin, J. Zhang, "A Powerful Discovery Procedure for Large-Scale Significance Testing, with Application to Comparative Microarray Experiments in Response to Different Biomaterials", Advanced Materials Research, Vols. 311-313, pp. 1661-1666, 2011
Online since
August 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Feng Li, Lan Fang Feng, Xiao Qing Wu, Yan Bo Hui
Abstract:Reverse engineering is a new modern product design technology, which is suitable for designing complex curve and surface, has been becoming a...
283
Authors: Xin Yu Li, Dong Yi Chen
Abstract:Accurate tracking for Augmented Reality applications is a challenging task. Multi-sensors hybrid tracking generally provide more stable than...
108
Authors: Zheng Zhang, Chao Xu
Chapter 10: Environmentally Sustainable Manufacturing Processes and Systems
Abstract:A distributed facial expression recognition approach based on MB-LGBP feature and decision fusion is presented in this paper to accomplish...
3199
Authors: Gui Liang Zhu, Rui Fang Song, Xiao Qiang Zhang, Xue Hui Fan
Chapter 12: Computer-Aided Design, Manufacturing and Engineering
Abstract:For the low efficiency and high complexity of previous fingerprint matching algorithms, a fingerprint matching algorithm based on the fuzzy...
3495
Authors: Hai Bo Liu, Jin Huang Wu, Yi Dong Wang, Jun Wei Lei
Chapter 2: Advances in Mechanical Engineering
Abstract:It is illustrated that establishing the reliability assessment method for Success or Failure product is important, and make an analysis and...
298