… layer, while weights in the output layer are target-specific (the output layer usually contains
m nodes for a multi-target prediction setting with m targets). Likewise, the common idea of pre-…

… and approaches of commonly used target predictions algorithms and methods for experimental
… miRNA target analysis and present our approach to miRNA target prediction using the …

… target interactions for experimental validation. The available tools for miRNA target prediction
… the major computational approaches to miRNA target prediction. Our discussion highlights …

… target prediction and which have grown tremendously in size in the past. We furthermore
outline methods for target prediction that … Applications of successful in silico target identification …

… We demonstrate RNAhybrid's flexibility with the prediction of a non-canonical target site
for Caenorhabditis elegans miR-241 in the 3′-untranslated region of lin-39 . RNAhybrid is …

… sensitivity and specificity of target prediction by constructing a … the most updated miRNA
target depository called miRecords to … m features {x i }, i=1, ..., m, the relevance D with the target …

… Computational microRNA (miRNA) target prediction is one of the key means for … target
prediction algorithm. The web server provides extensive information for predicted miRNA:target …

… for miRNA target prediction in this paper. Computational target prediction algorithms came to
… the goal of sequence-based target prediction is to decide if mRNA m is a target based on x . …

… Designed for computational biologists, medicinal chemists, and neighboring disciplines, this
review aims to outline the general principle and potential of computational target prediction …

… Here we summarize the rules to predict miRNA targets and introduce some computational …
for miRNA target prediction and the application of the methods. In addition, the issue of target …