Sciweavers

388 search results - page 68 / 78
» Learning Methods for DNA Binding in Computational Biology
Sort
View
BMCBI
2010
173views more  BMCBI 2010»
14 years 9 months ago
The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images
Background: There is increasing interest in the development of computational methods to analyze fluorescent microscopy images and enable automated large-scale analysis of the subc...
Michael Riffle, Trisha N. Davis
BMCBI
2010
176views more  BMCBI 2010»
14 years 9 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
NECO
2007
127views more  NECO 2007»
14 years 9 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 5 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
85
Voted
BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Systematic identification of yeast cell cycle transcription factors using multiple data sources
Background: Eukaryotic cell cycle is a complex process and is precisely regulated at many levels. Many genes specific to the cell cycle are regulated transcriptionally and are exp...
Wei-Sheng Wu, Wen-Hsiung Li