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ICMLA
2008
13 years 6 months ago
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
Theodoros Damoulas, Yiming Ying, Mark A. Girolami,...
NAR
2007
260views more  NAR 2007»
13 years 4 months ago
WoLF PSORT: protein localization predictor
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization featur...
Paul Horton, Keun-Joon Park, Takeshi Obayashi, Nao...
BMCBI
2005
114views more  BMCBI 2005»
13 years 5 months ago
Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and stru
Background: Protein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many importa...
Luciano Milanesi, Mauro Petrillo, Leandra Sepe, An...
BMCBI
2008
145views more  BMCBI 2008»
13 years 5 months ago
The contrasting properties of conservation and correlated phylogeny in protein functional residue prediction
Background: Amino acids responsible for structure, core function or specificity may be inferred from multiple protein sequence alignments where a limited set of residue types are ...
Jonathan R. Manning, Emily R. Jefferson, Geoffrey ...
BMCBI
2007
119views more  BMCBI 2007»
13 years 5 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...