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» Approximate data mining in very large relational data
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BMCBI
2006
151views more  BMCBI 2006»
15 years 1 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
93
Voted
BMCBI
2007
62views more  BMCBI 2007»
15 years 1 months ago
Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data
Background: There are mechanisms, notably ozone degradation, that can damage a single channel of two-channel microarray experiments. Resulting analyses therefore often choose betw...
Andy G. Lynch, David E. Neal, John D. Kelly, Glyn ...
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
16 years 2 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
119
Voted
BMCBI
2008
171views more  BMCBI 2008»
15 years 1 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
TPDS
2010
185views more  TPDS 2010»
15 years 5 days ago
All-Pairs: An Abstraction for Data-Intensive Computing on Campus Grids
s: An Abstraction for Data Intensive Computing on Campus Grids Christopher Moretti, Hoang Bui, Karen Hollingsworth, Brandon Rich, Patrick Flynn, and Douglas Thain Department of Com...
Christopher Moretti, Hoang Bui, Karen Hollingswort...