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BMCBI
2007
135views more  BMCBI 2007»
15 years 6 months ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...
CSDA
2008
102views more  CSDA 2008»
15 years 6 months ago
Step-up and step-down procedures controlling the number and proportion of false positives
In multiple hypotheses testing, it is important to control the probability of rejecting "true" null hypotheses. A standard procedure has been to control the family-wise ...
Paul N. Somerville, Claudia Hemmelmann
AI
2006
Springer
15 years 6 months ago
Generating and evaluating evaluative arguments
Evaluative arguments are pervasive in natural human communication. In countless situations people attempt to advise or persuade their interlocutors that something is desirable (vs...
Giuseppe Carenini, Johanna D. Moore
TCBB
2008
137views more  TCBB 2008»
15 years 6 months ago
Toward Verified Biological Models
The last several decades have witnessed a vast accumulation of biological data and data analysis. Many of these data sets represent only a small fraction of the system's behav...
Avital Sadot, Jasmin Fisher, Dan Barak, Yishai Adm...
BMCBI
2005
136views more  BMCBI 2005»
15 years 6 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial