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A novel approach for gene classification is proposed, which adopts codon usage bias pattern as feature vector for the subsequent classification using Support Vector Machines (SVMs). A given DNA sequence is first converted to 59-dimensional feature vector, each element corresponding to the relative synonymous usage frequency of a codon. Therefore, the input(More)
In this paper, we exploit an algorithm for detecting the individual objects from multiple images in a weakly supervised manner. Specifically, we treat the object co-detection as a jointly dictionary learning and objects localization problem. Thus a novel low-rank and sparse representation dictionary learning algorithm is proposed. It aims to learn a compact(More)
Annexins are an evolutionarily conserved multigene family of calcium-dependent phospholipid binding proteins that play important roles in stress resistance and plant development. They have been relatively well characterized in model plants Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa), but nothing has been reported in hexaploid bread wheat(More)
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