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BMCBI
2007
174views more  BMCBI 2007»
15 years 3 months ago
Normalization method for metabolomics data using optimal selection of multiple internal standards
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, ...
196
Voted
BIB
2011
14 years 7 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 3 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 9 months ago
Implementation issues for an interactive evolutionary computation system
The design and development of an Interactive Evolutionary Computation (IEC) system needs to take into account the implementation issues found when delivering the system to “Real...
Mark R. N. Shackelford
128
Voted
COLING
2002
15 years 3 months ago
The LinGO Redwoods Treebank: Motivation and Preliminary Applications
The LinGO Redwoods initiative is a seed activity in the design and development of a new type of treebank. While several medium- to large-scale treebanks exist for English (and for...
Stephan Oepen, Kristina Toutanova, Stuart M. Shieb...