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» The Predictability of Data Values
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BMCBI
2007
149views more  BMCBI 2007»
13 years 10 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
VLDB
2009
ACM
182views Database» more  VLDB 2009»
14 years 10 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 7 months ago
Scalable Attribute-Value Extraction from Semi-structured Text
Yuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal ...
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes