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» Microarray results: how accurate are they
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BMCBI
2011
13 years 1 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
NC
2008
13 years 9 months ago
How crystals that sense and respond to their environments could evolve
An enduring mystery in biology is how a physical entity simple enough to have arisen spontaneously could have evolved into the complex life seen on Earth today. Cairns-Smith has pr...
Rebecca Schulman, Erik Winfree
BMCBI
2008
94views more  BMCBI 2008»
13 years 10 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson
WWW
2007
ACM
14 years 10 months ago
Effort estimation: how valuable is it for a web company to use a cross-company data set, compared to using its own single-compan
Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...
SP
2010
IEEE
192views Security Privacy» more  SP 2010»
14 years 1 months ago
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
—Captchas are designed to be easy for humans but hard for machines. However, most recent research has focused only on making them hard for machines. In this paper, we present wha...
Elie Bursztein, Steven Bethard, Celine Fabry, John...