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BMCBI
2005
134views more  BMCBI 2005»
15 years 2 months ago
Systematic feature evaluation for gene name recognition
In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this ...
Jörg Hakenberg, Steffen Bickel, Conrad Plake,...
TSP
2008
151views more  TSP 2008»
15 years 2 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
BMCBI
2004
158views more  BMCBI 2004»
15 years 2 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
AI
2000
Springer
15 years 2 months ago
A Lagrangian reconstruction of GENET
GENET is a heuristic repair algorithm which demonstrates impressive e ciency in solving some large-scale and hard instances of constraint satisfaction problems (CSPs). In this pap...
Kenneth M. F. Choi, Jimmy Ho-Man Lee, Peter J. Stu...
BMCBI
2002
133views more  BMCBI 2002»
15 years 2 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
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