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» Robust estimators for expression analysis
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BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
BMCBI
2004
90views more  BMCBI 2004»
14 years 10 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
80
Voted
BMCBI
2008
124views more  BMCBI 2008»
14 years 10 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
67
Voted
BMCBI
2006
179views more  BMCBI 2006»
14 years 10 months ago
Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Rodrigo Malig, Cristian Varela, Eduardo Agosin, Fr...