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» Microarray Gene Expression Data Analysis
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BMCBI
2006
116views more  BMCBI 2006»
15 years 2 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
BMCBI
2006
112views more  BMCBI 2006»
15 years 2 months ago
Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data
Background: Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hy...
Lesley Jones, Darlene R. Goldstein, Gareth P. Hugh...
BMCBI
2011
14 years 6 months ago
Proportion statistics to detect differentially expressed genes: a comparison with log-ratio statistics
Background: In genetic transcription research, gene expression is typically reported in a test sample relative to a reference sample. Laboratory assays that measure gene expressio...
Tracy L. Bergemann, Jason Wilson
BICOB
2010
Springer
15 years 2 months ago
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
BMCBI
2008
114views more  BMCBI 2008»
15 years 2 months ago
TiGER: A database for tissue-specific gene expression and regulation
Background: Understanding how genes are expressed and regulated in different tissues is a fundamental and challenging question. However, most of currently available biological dat...
Xiong Liu, Xueping Yu, Donald J. Zack, Heng Zhu, J...