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» Learning the Relative Importance of Features in Image Data
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BMCBI
2010
84views more  BMCBI 2010»
13 years 7 months ago
An integrated analysis of molecular aberrations in NCI-60 cell lines
Background: Cancer is a complex disease where various types of molecular aberrations drive the development and progression of malignancies. Large-scale screenings of multiple type...
Chen-Hsiang Yeang
BMCBI
2010
146views more  BMCBI 2010»
13 years 7 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
BMCBI
2005
67views more  BMCBI 2005»
13 years 7 months ago
Sequence signature analysis of chromosome identity in three Drosophila species
Background: All eukaryotic organisms need to distinguish each of their chromosomes. A few protein complexes have been described that recognise entire, specific chromosomes, for in...
Per Stenberg, Fredrik Pettersson, Anja O. Saura, A...
BMCBI
2011
12 years 11 months ago
RAG: An Update to the RNA-As-Graphs Resource
Background: In 2004, we presented a web resource for stimulating the search for novel RNAs, RNA-As-Graphs (RAG), which classified, catalogued, and predicted RNA secondary structur...
Joseph A. Izzo, Namhee Kim, Shereef Elmetwaly, Tam...
CVPR
2000
IEEE
14 years 9 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang