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» A Boosting Algorithm for Regression
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148
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BMCBI
2007
149views more  BMCBI 2007»
15 years 2 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
152
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EOR
2007
165views more  EOR 2007»
15 years 2 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
106
Voted
BMCBI
2004
127views more  BMCBI 2004»
15 years 2 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
154
Voted
BMCBI
2004
229views more  BMCBI 2004»
15 years 2 months ago
Automatic annotation of protein motif function with Gene Ontology terms
Background: Conserved protein sequence motifs are short stretches of amino acid sequence patterns that potentially encode the function of proteins. Several sequence pattern search...
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishna...
148
Voted
CORR
2002
Springer
117views Education» more  CORR 2002»
15 years 2 months ago
Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis
Diagnosing faults in aircraft gas turbine engines is a complex problem. It involves several tasks, including rapid and accurate interpretation of patterns in engine sensor data. W...
Peter D. Turney, Michael Halasz