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BMCBI
2006
103views more  BMCBI 2006»
15 years 26 days ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
122
Voted
BIOINFORMATICS
2005
151views more  BIOINFORMATICS 2005»
15 years 22 days ago
Differential and trajectory methods for time course gene expression data
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
97
Voted
SOUPS
2009
ACM
15 years 7 months ago
A comparative study of online privacy policies and formats
Abstract. Online privacy policies are difficult to understand. Most privacy policies require a college reading level and an ability to decode legalistic, confusing, or jargon-laden...
Aleecia M. McDonald, Robert W. Reeder, Patrick Gag...
103
Voted
ICNP
2006
IEEE
15 years 6 months ago
Differentiated BGP Update Processing for Improved Routing Convergence
— Internet routers today can be overwhelmed by a large number of BGP updates triggered by events such as session resets, link failures, and policy changes. Such excessive updates...
Wei Sun, Zhuoqing Morley Mao, Kang G. Shin
BMCBI
2007
159views more  BMCBI 2007»
15 years 28 days ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...