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Therefore, context neurons form a sort of short-term memory, very useful for improving prediction of sequences.
Various VMM approaches like context tree weighting (CTW), prediction by partial match (PPM), probabilistic suffix tree (PST) and Lempel Ziv (LZ78) algorithms for prediction of sequences based on partial sequences are well explored [10].
Functional prediction of sequences was also aided by running Pfam [ 60] searches.
23 The length of the mature miRNAs was the same because it was a controlled and recommended parameter for the prediction of sequences in non-plant organisms.
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In order to model prediction of sequence of strategies, a customized decision tree algorithm has been used.
Sequences are analysed using a range of analysis tools for prediction of sequence features.
Therefore computational prediction of sequence motifs responsible for RNA secretion is a very challenging task.
Figure 2(a), 2(b), 2(c) show the prediction of sequence-specific binding residues, the prediction of non-specific binding residues, and the combined result, respectively.
Thus, the above prediction of sequence-specific DNA-binding by ALOG domain is consonant with the standalone versions functioning as specific TFs in plants.
Prediction of sequencing coverage in contigs from a completely non repetitive genome was calculated according to the Lander and Waterman model [ 32].
Phylogenetic foot printing and transcription factor binding site prediction of sequence 5' to the coding sequence of STK11/LKB1 was performed to identify non-coding sequences of DNA indicative of regulatory elements.
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