نتایج جستجو برای: through similarity matrix
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synthetic plants as well as wild crop species are valuable genetic resourses. to determine the genetic variation in triticale, tritipyrum as well as wheat lines, genomic dna of this amphiploid including thinopyrum bessarabicum and durum wheat were amplified using 32 random and 22 semi random primers. primers that could produce clear, polymorphic and repetitive bands are used for determination o...
Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of the pre-calculated sequence similarity matrix and sequence-based features like InterPro domains fo...
Foundations Similarity index = a numerical index describing the similarity of two community samples in terms of their species content Similarity matrix = a square, symmetrical matrix with the similarity value of every pair of samples, if Q-mode, or species, if R-mode, in the data matrix The similarity matrix is the basis for all multivariate techniques depicting relationships among community sa...
Memory-based collaborative filtering aims at predicting the utility of a certain item for a particular user based on the previous ratings from similar users and similar items. Previous studies in finding similar users and items are based on user-defined similarity metrics such as Pearson Correlation Coefficient or Vector Space Similarity which are not adaptive and optimized for different applic...
The prediction of protein function as well as the reconstruction of evolutionary genesis employing sequence comparison at large is still the most powerful tool in sequence analysis. Due to the exponential growth of the number of known protein sequences and the subsequent quadratic growth of the similarity matrix, the computation of the Similarity Matrix of Proteins (SIMAP) becomes a computation...
Self-similarity matrices have become an important tool for visualizing the repetitive structure of a music recording. Transforming an audio data stream into a feature sequence, one obtains a self-similarity matrix by pairwise comparing all features of the sequence with respect to a local cost measure. The basic idea is that similar audio segments are revealed as paths of low cost along diagonal...
Accurate real time crime prediction is a fundamental issue for public safety, but remains a challenging problem for the scientific community. Crime occurrences depend on many complex factors. Compared to many predictable events, crime is sparse. At different spatiotemporal scales, crime distributions display dramatically different patterns. These distributions are of very low regularity in both...
MOTIVATION Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection and correction of false positive and negative relationships with subsequent detection and resolution of multi-domain proteins. RESULTS A new algorithm for the automatic clustering of protein sequence datasets has bee...
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