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Comparison of four Ab initio MicroRNA prediction tools
MicroRNAs are small RNA sequences of 18-24 nucleotides in length, which serve as templates to drive post transcriptional gene silencing. The canonical microRNA pathway starts with transcription from DNA and is followed by ...
Data mining for microrna gene prediction: On the impact of class imbalance and feature number for microrna gene prediction
MicroRNAs (miRNAs) are small, non-coding RNAs which are involved in the posttranscriptional modulation of gene expression. Their short (18-24) single stranded mature sequences are involved in targeting specific genes. It ...
Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins?
(Informationsmanagement in der Biotechnologie e.V., 2013)
Experimental detection and validation of miRNAs is a tedious, time-consuming, and expensive process. Computational methods for miRNA gene detection are being developed so that the number of candidates that need experimental ...
Computational prediction of MicroRNAs from toxoplasma gondii potentially regulating the hosts' gene expression
MicroRNAs (miRNAs) were discovered two decades ago, yet there is still a great need for further studies elucidating their genesis and targeting in different phyla. Since experimental discovery and validation of miRNAs is ...
Machine learning methods for microRNA gene prediction
(Humana Press, 2014)
MicroRNAs (miRNAs) are single-stranded, small, noncoding RNAs of about 22 nucleotides in length, which control gene expression at the posttranscriptional level through translational inhibition, degradation, adenylation, ...