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» Missing Data Estimation Using Polynomial Kernels
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ICPR
2004
IEEE
14 years 6 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
ICASSP
2011
IEEE
12 years 9 months ago
How efficient is estimation with missing data?
In this paper, we present a new evaluation approach for missing data techniques (MDTs) where the efficiency of those are investigated using listwise deletion method as reference....
Seliz G. Karadogan, Letizia Marchegiani, Lars Kai ...
INTERSPEECH
2010
13 years 2 days ago
Estimating missing data sequences in x-ray microbeam recordings
Techniques for recording the vocal tract shape during speech such as X-ray microbeam or EMA track the spatial location of pellets attached to several articulators. Limitations of ...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
BMCBI
2004
90views more  BMCBI 2004»
13 years 5 months ago
Haplotype frequency estimation error analysis in the presence of missing genotype data
Background: Increasingly researchers are turning to the use of haplotype analysis as a tool in population studies, the investigation of linkage disequilibrium, and candidate gene ...
Enda D. Kelly, Fabian Sievers, Ross McManus
BMCBI
2006
211views more  BMCBI 2006»
13 years 5 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng