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» Structured Sparsity in Structured Prediction
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PSB
2008
15 years 6 months ago
Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients
bstracts in the structure prior of a Bayesian network could improve the prediction of the prognosis in cancer. Our results show that prediction of the outcome with the text prior w...
O. Gaevert, Steven Van Vooren, Bart De Moor
BIOCOMP
2006
15 years 6 months ago
A New Algorithm to Predict the Active Sites Using Amino Acid Vectors and Biochemical features of Surface Patches
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...
BMCBI
2010
159views more  BMCBI 2010»
15 years 4 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
125
Voted
BMCBI
2008
133views more  BMCBI 2008»
15 years 4 months ago
ElliPro: a new structure-based tool for the prediction of antibody epitopes
Background: Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between a...
Julia V. Ponomarenko, Huynh-Hoa Bui, Wei Li, Nicho...
153
Voted
CIKM
2009
Springer
15 years 11 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