SVMs for novel class detection in Bioinformatics
نویسندگان
چکیده
Novelty Detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. This paper presents the early results of the use of a One-Class SVM approach to detect novel classes in two Bioinformatics databases. The results are compatible with the theory and inspire further investigations.
منابع مشابه
One-Class SVMs Challenges in Audio Detection and Classification Applications
Support vector machines (SVMs) have gained great attention and have been used extensively and successfully in the field of sounds (events) recognition. However, the extension of SVMs to real-world signal processing applications is still an ongoing research topic. Our work consists of illustrating the potential of SVMs on recognizing impulsive audio signals belonging to a complex realworld datas...
متن کاملتولید خودکار الگوهای نفوذ جدید با استفاده از طبقهبندهای تک کلاسی و روشهای یادگیری استقرایی
In this paper, we propose an approach for automatic generation of novel intrusion signatures. This approach can be used in the signature-based Network Intrusion Detection Systems (NIDSs) and for the automation of the process of intrusion detection in these systems. In the proposed approach, first, by using several one-class classifiers, the profile of the normal network traffic is established. ...
متن کاملDetection of Novel Mutation in LukS Panton-Valentine Leukocidin Gene in Twelve Isolates of Staphylococcus aureus from Sudanese Patients
Staphylococcus aureus carrying PVL gene remain major health problem associated with highly virulent infections. Characterization of such gene is important to know the impact and the functional significance of nucleotide variations. PCR and standard sequencing were performed for twelve Sudanese strains from different sources. Protein structures prediction, modeling and physiochemical analysis we...
متن کاملSpecial Issue on VIII Brazilian Symposium on Neural Networks
In this Special Issue of the Journal of International Fuzzy Systems, JIFS, nine papers selected among the best evaluated accepted papers for the VIII Brazilian Symposium on Neural Networks, SBRN’04 are presented. This symposium covers topics related to Artificial Neural Networks, Evolutionary Computation, Fuzzy Systems and other Computational, accepting papers presenting new theoretical studies...
متن کاملSecondary structure prediction with support vector machines
MOTIVATION A new method that uses support vector machines (SVMs) to predict protein secondary structure is described and evaluated. The study is designed to develop a reliable prediction method using an alternative technique and to investigate the applicability of SVMs to this type of bioinformatics problem. METHODS Binary SVMs are trained to discriminate between two structural classes. The b...
متن کامل