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» pSLIP: SVM based protein subcellular localization prediction...
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BMCBI
2005
120views more  BMCBI 2005»
14 years 10 months ago
pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties
Background: Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of pre...
Deepak Sarda, Gek Huey Chua, Kuo-Bin Li, Arun Kris...
92
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JUCS
2010
104views more  JUCS 2010»
14 years 8 months ago
Investigating a Correlation between Subcellular Localization and Fold of Proteins
: When considering the prediction of a structural class for a protein as a classification problem, usually a classifier is based on a feature vector x ∈ Rn , where the features...
Johannes Aßfalg, Jing Gong, Hans-Peter Krieg...
84
Voted
BMCBI
2007
142views more  BMCBI 2007»
14 years 10 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
BMCBI
2007
119views more  BMCBI 2007»
14 years 10 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
BMCBI
2008
170views more  BMCBI 2008»
14 years 10 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini