Localization site prediction for membrane proteins by integrating rule and SVM classification

SOSUI: classification and secondary structure prediction system for membrane proteins

UNLABELLED The system SOSUI for the discrimination of membrane proteins and soluble ones together with the prediction of transmembrane helices was developed, in which the accuracy of the classification of proteins was 99% and the corresponding value for the transmembrane helix prediction was 97%. AVAILABILITY The system SOSUI is available through internet access: http://www.tuat.ac.jp/mitaku/...

Model-based classification for subcellular localization prediction of proteins

The present thesis is a result of my work conducted in the Division Theoretical Bioinformatics at the German Cancer Research Center (DKFZ). The explosive growth in the amount of biological data demands the use of computers for the maintenance and the analysis of these data. This led to the evolution of Bioinformatics, an interdisciplinary field at the intersection of biology, computer science a...

Association-rule-based Prediction of Outer Membrane Proteins

HHomp—prediction and classification of outer membrane proteins

Outer membrane proteins (OMPs) are the transmembrane proteins found in the outer membranes of Gram-negative bacteria, mitochondria and plastids. Most prediction methods have focused on analogous features, such as alternating hydrophobicity patterns. Here, we start from the observation that almost all beta-barrel OMPs are related by common ancestry. We identify proteins as OMPs by detecting thei...

CRNN: Integrating Classification Rule and Neural Network

Association classification has been an important type of the rule based classification. A variety of approaches have been proposed to build a classifier based on classification rules. In the prediction stage of the extant approaches, most of the existing association classifiers use the ensemble quality measurement of each rule in a subset rules to predict the class label of the new data. This m...