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BMCBI
2010
144views more  BMCBI 2010»
13 years 3 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
BMCBI
2010
195views more  BMCBI 2010»
13 years 3 months ago
MBAT: A scalable informatics system for unifying digital atlasing workflows
Background: Digital atlases provide a common semantic and spatial coordinate system that can be leveraged to compare, contrast, and correlate data from disparate sources. As the q...
Daren Lee, Seth Ruffins, Queenie Ng, Nikhil Sane, ...
BMCBI
2011
13 years 3 months ago
N-gram analysis of 970 microbial organisms reveals presence of biological language models
Background: It has been suggested previously that genome and proteome sequences show characteristics typical of natural-language texts such as “signature-style” word usage ind...
Hatice U. Osmanbeyoglu, Madhavi Ganapathiraju
BMCBI
2011
13 years 3 months ago
Systematic error detection in experimental high-throughput screening
Background: High-throughput screening (HTS) is a key part of the drug discovery process during which thousands of chemical compounds are screened and their activity levels measure...
Plamen Dragiev, Robert Nadon, Vladimir Makarenkov
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 3 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...