about
Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy.TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles.Prediction of protein secondary structures with a novel kernel density estimation based classifier.Data classification with radial basis function networks based on a novel kernel density estimation algorithm.Protein disorder prediction by condensed PSSM considering propensity for order or disorderIncorporating distant sequence features and radial basis function networks to identify ubiquitin conjugation sites.Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins.ETMB-RBF: discrimination of metal-binding sites in electron transporters based on RBF networks with PSSM profiles and significant amino acid pairs.Identification of efflux proteins using efficient radial basis function networks with position-specific scoring matrices and biochemical properties.Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical propertiesTopology Prediction of α-Helical and β-Barrel Transmembrane Proteins Using RBF NetworksUsing Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical PropertiesA novel radial basis function network classifier with centers set by hierarchical clusteringData classification with a relaxed model of variable kernel density estimation
P50
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P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Yu-Yen Ou
@ast
Yu-Yen Ou
@en
Yu-Yen Ou
@es
Yu-Yen Ou
@nl
Yu-Yen Ou
@sl
type
label
Yu-Yen Ou
@ast
Yu-Yen Ou
@en
Yu-Yen Ou
@es
Yu-Yen Ou
@nl
Yu-Yen Ou
@sl
prefLabel
Yu-Yen Ou
@ast
Yu-Yen Ou
@en
Yu-Yen Ou
@es
Yu-Yen Ou
@nl
Yu-Yen Ou
@sl
P106
P1153
35847309000
P31
P496
0000-0002-9894-926X