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TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICIP
2008
IEEE
14 years 9 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
HT
2003
ACM
14 years 29 days ago
Simplifying annotation support for real-world-settings: a comparative study of active reading
Despite the multitude of existing interfaces for annotation, little is known about their influence on the created annotations. In this paper, first findings of a comparative video...
Hartmut Obendorf
BMCBI
2007
83views more  BMCBI 2007»
13 years 7 months ago
Identification of sequence motifs significantly associated with antisense activity
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...
Kyle A. McQuisten, Andrew S. Peek