… We implemented miTarget, a support vector machine (SVM) classifier for … In this article, we
present a support vector machine (SVM) classifier to predict miRNA target genes. An SVM is …

… they still have limitations in revealing actual target genes. Results We implemented miTarget,
a support vector machine (SVM) classifier for miRNA target gene prediction. It uses a radial …

… The SVM-based miTarget could not easily impose criteria other than features embedded
in the encoded duplex. For example, features such as species conservation and the over-…

… is trained using these known miRNA-target interactions to predict suspected ones. Machine
… been employed in animal miRNA targets prediction successfully, such as miTarget [20], …

… 675 microRNAs and 11,758 target genes predicted by … of the algorithm on microRNA target
data set predicted by PITA; … algorithm on microRNA target data set predicted by TargetScan. …

… by several of these tools is support vector machines (SVM). Tools that use SVM are noted. …
In this section, we outline 10 popular miRNA target prediction tools, using the characteristics …

… alignments between candidate microRNA-target pairs and … algorithms for microRNA target
prediction using independent … properties for effective microRNA-target gene alignment. …

… of target prediction by constructing a comprehensive training dataset and developing a support
vector machine (SVM)[… Particularly, we take advantage of the most updated miRNA target …

… for predicting microRNA target sites that … of using rigid rules and/or arbitrarily selected
target site features, we objectively derived a set of discriminative features to be used for machine …

… In addition to above mentioned approaches, there are many machine learning algorithms
for miRNAs target prediction. Support Vector Machine (SVM) [21], [22], [23], [24], [25], Naïve …