Comprehensive machine-learning-based analysis of microRNA–target interactions reveals variable transferability of interaction rules across species

Abstract Background MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally via base-pairing with complementary sequences on messenger RNAs (mRNAs). Due to the technical challenges involved in the application of high-throughput experimental methods, datasets...

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Egile Nagusiak:	Gilad Ben Or, Isana Veksler-Lublinsky
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2021-05-01
Saila:	BMC Bioinformatics
Gaiak:	Machine learning miRNA Target prediction CLASH AGO-CLIP Chimeric miRNA–target interactions
Sarrera elektronikoa:	https://doi.org/10.1186/s12859-021-04164-x
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