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ABSTRACT: Motivation
It is a fundamental task to identify microRNAs (miRNAs) targets and accurately locate their target sites. Genome-scale experiments for miRNA target site detection are still costly. The prediction accuracies of existing computational algorithms and tools are often not up to the expectation due to a large number of false positives. One major obstacle to achieve a higher accuracy is the lack of knowledge of the target binding features of miRNAs. The published high-throughput experimental data provide an opportunity to analyze position-wise preference of miRNAs in terms of target binding, which can be an important feature in miRNA target prediction algorithms.Results
We developed a Markov model to characterize position-wise pairing patterns of miRNA-target interactio
SUBMITTER: Talukder A
PROVIDER: S-EPMC8453239 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature