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19 de mar. de 2020 · Development of a discrimination model to distinguish lung cancers from non-cancer participants. a Receiver operating characteristic (ROC) curves for detecting lung cancer patients using miR-17-3p selected as the best single miRNA model in the discovery set.
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6 de sept. de 2018 · AGO-PAR-CLIP is widely used for high-throughput miRNA target characterization. Here, the authors show that the previously neglected non-T-to-C clusters denote functional miRNA binding events, and ...
30 de ene. de 2020 · Many tools have been developed to predict miRNA–target interactions, ... The model trained by the trA set without feature selection scored 0.9990, 0.9973, and 0.9986 on Sn, ...
7 de ago. de 2020 · Left: The miRNA is reverse-transcribed using a miRNA-specific hairpin-shaped primer that partially hybridizes to the miRNA 3′ end. ... a DNA circuit is built to integrate the presence or absence of a set of miRNAs, transduce this information in moleculo, and report an output that depends on the programmable circuits architecture.
13 de jul. de 2018 · We present a novel approach for miRNA target prediction based on Deep Learning (DL) which, rather than incorporating any knowledge (such as seed regions), investigates the entire miRNA and 3’TR mRNA nucleotides to learn a uninhibited set of feature descriptors related to the targeting process.
21 de ago. de 2023 · In this paper, we proposed a consensual machine-learning technique-based prediction approach to identify disease-related miRNAs and lncRNAs by high-order proximity preserved embedding (HOPE) and eXtreme Gradient Boosting (XGB), named HOPEXGB.
