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BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2010
137views more  BMCBI 2010»
14 years 9 months ago
Biana: a software framework for compiling biological interactions and analyzing networks
Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature sy...
Javier Garcia-Garcia, Emre Guney, Ramon Aragues, J...
LREC
2010
185views Education» more  LREC 2010»
14 years 11 months ago
How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations
Clinical texts contain a large amount of information. Some of this information is embedded in contexts where e.g. a patient status is reasoned about, which may lead to a considera...
Hercules Dalianis, Sumithra Velupillai
DIALM
2003
ACM
99views Algorithms» more  DIALM 2003»
15 years 2 months ago
Spatio-temporal data reduction with deterministic error bounds
A common way of storing spatio-temporal information about mobile devices is in the form of a 3D (2D geography + time) trajectory. We argue that when cellular phones and Personal D...
Hu Cao, Ouri Wolfson, Goce Trajcevski
BMCBI
2007
126views more  BMCBI 2007»
14 years 9 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...