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» Using context to improve protein domain identification
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ICIP
1998
IEEE
15 years 2 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
CIKM
2009
Springer
15 years 4 months ago
Linear predictive coding representation of correlated mutation for protein sequence alignment
Background: Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of ali...
Chan-seok Jeong, Dongsup Kim
BMCBI
2011
14 years 1 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...
BMCBI
2011
14 years 5 months ago
Shape-based peak identification for ChIP-Seq
Background: The identification of binding targets for proteins using ChIP-Seq has gained popularity as an alternative to ChIP-chip. Sequencing can, in principle, eliminate artifac...
Valerie Hower, Steven N. Evans, Lior Pachter
SEMWEB
2010
Springer
14 years 7 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang