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» Accuracy in Predicting Secondary Structure of Ionic Channels
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BIBE
2003
IEEE
124views Bioinformatics» more  BIBE 2003»
15 years 2 months ago
Prediction of Contact Maps Using Support Vector Machines
Contact map prediction is of great interest for its application in fold recognition and protein 3D structure determination. In this paper we present a contact-map prediction algor...
Ying Zhao, George Karypis
58
Voted
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Analysis of four different sets of predictive features for metalloproteins
Metals bound to the protein are important for functional or structural roles. Despite their importance there is a distinct lack of research for identification of metalloproteins f...
Huseyin Seker, Parvez I. Haris
BMCBI
2006
114views more  BMCBI 2006»
14 years 9 months ago
Impact of RNA structure on the prediction of donor and acceptor splice sites
Background: gene identification in genomic DNA sequences by computational methods has become an important task in bioinformatics and computational gene prediction tools are now es...
Sayed-Amir Marashi, Changiz Eslahchi, Hamid Pezesh...
79
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KDD
2002
ACM
104views Data Mining» more  KDD 2002»
15 years 10 months ago
Generalization Methods in Bioinformatics
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
BMCBI
2007
139views more  BMCBI 2007»
14 years 9 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek