منابع مشابه
Motif Discovery in Physiological Datasets: A Methodology for Inferring Predictive Elements Citation
In this article, we propose a methodology for identifying predictive physiological patterns in the absence of prior knowledge. We use the principle of conservation to identify activity that consistently precedes an outcome in patients, and describe a two-stage process that allows us to efficiently search for such patterns in large datasets. This involves first transforming continuous physiologi...
متن کاملMultidimensional Motif Discovery in Physiological and Biomedical Time Series Data
Providing personalized diagnosis and therapy requires monitoring patient activity using various body sensors. Sensor data generated during personalized exercises or tasks may be too specific or inadequate to be reviewed and evaluated using supervised methods such as classification. We propose multidimensional time series motif discovery as a means for patient activity monitoring, since such mot...
متن کاملDevelopment of an Efficient Hybrid Method for Motif Discovery in DNA Sequences
This work presents a hybrid method for motif discovery in DNA sequences. The proposed method called SPSO-Lk, borrows the concept of Chebyshev polynomials and uses the stochastic local search to improve the performance of the basic PSO algorithm as a motif finder. The Chebyshev polynomial concept encourages us to use a linear combination of previously discovered velocities beyond that proposed b...
متن کاملBiological sequence motif discovery using motif-x.
The Web-based motif-x program provides a simple interface to extract statistically significant motifs from large data sets, such as MS/MS post-translational modification data and groups of proteins that share a common biological function. Users upload data files and download results using common Web browsers on essentially any Web-compatible computer. Once submitted, data analyses are performed...
متن کاملDiscovery of stable and significant binding motif pairs from PDB complexes and protein interaction datasets
MOTIVATION Discovery of binding sites is important in the study of protein-protein interactions. In this paper, we introduce stable and significant motif pairs to model protein-binding sites. The stability is the pattern's resistance to some transformation. The significance is the unexpected frequency of occurrence of the pattern in a sequence dataset comprising known interacting protein pairs....
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ژورنال
عنوان ژورنال: ACM Transactions on Knowledge Discovery from Data
سال: 2010
ISSN: 1556-4681,1556-472X
DOI: 10.1145/1644873.1644875