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BMCBI
2004
146views more  BMCBI 2004»
15 years 3 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
ICASSP
2008
IEEE
15 years 9 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 4 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
IDA
2006
Springer
15 years 3 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
WSCG
2003
167views more  WSCG 2003»
15 years 4 months ago
Vector-valued Image Restoration with Applications to Magnetic Resonance Velocity Imaging
The analysis of blood flow patterns and the interaction between salient topological flow features and cardiovascular structure plays an important role in the study of cardiovascul...
Yin-Heung Pauline Ng, Guang-Zhong Yang