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» An ICA algorithm for analyzing multiple data sets
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BMCBI
2008
98views more  BMCBI 2008»
13 years 9 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 9 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
ICTAI
2003
IEEE
14 years 2 months ago
Integrating Microarray Data by Consensus Clustering
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...
Vladimir Filkov, Steven Skiena
SC
2004
ACM
14 years 2 months ago
Optimal File-Bundle Caching Algorithms for Data-Grids
The file-bundle caching problem arises frequently in scientific applications where jobs process several files concurrently. Consider a host system in a data-grid that maintains...
Ekow J. Otoo, Doron Rotem, Alexandru Romosan
BMCBI
2004
100views more  BMCBI 2004»
13 years 9 months ago
Handling multiple testing while interpreting microarrays with the Gene Ontology Database
Background: The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different me...
Michael V. Osier, Hongyu Zhao, Kei-Hoi Cheung