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» Multiclass discovery in array data
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BMCBI
2004
165views more  BMCBI 2004»
13 years 5 months ago
Analysis of oligonucleotide array experiments with repeated measures using mixed models
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...
BMCBI
2010
178views more  BMCBI 2010»
13 years 5 months ago
CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics
Background: Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk...
Xiaowu Gai, Juan C. Perin, Kevin Murphy, Ryan O'Ha...
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 8 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
IDA
2011
Springer
13 years 22 days ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
BMCBI
2008
171views more  BMCBI 2008»
13 years 5 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri