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ICDM
2010
IEEE
96views Data Mining» more  ICDM 2010»
14 years 9 months ago
Domain-Driven Data Mining for IT Infrastructure Support
Abstract--Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adop...
Girish Keshav Palshikar, Harrick M. Vin, Mohammed ...
BMCBI
2010
125views more  BMCBI 2010»
14 years 11 months ago
Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
Noor B. Dawany, Aydin Tozeren
BMCBI
2007
149views more  BMCBI 2007»
14 years 11 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
BMCBI
2006
116views more  BMCBI 2006»
14 years 11 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
2010
164views more  BMCBI 2010»
14 years 8 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...