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BMCBI
2010
125views more  BMCBI 2010»
15 years 7 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»
15 years 7 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
ECOOP
2012
Springer
13 years 9 months ago
Static Detection of Loop-Invariant Data Structures
As a culture, object-orientation encourages programmers to create objects, both short- and long-lived, without concern for cost. Excessive object creation and initialization can ca...
Guoqing (Harry) Xu, Dacong Yan, Atanas Rountev
ISPASS
2008
IEEE
16 years 1 months ago
Pinpointing and Exploiting Opportunities for Enhancing Data Reuse
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
Gabriel Marin, John M. Mellor-Crummey
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 12 months ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...