Abstract：
:Mirtrons are non-canonical microRNAs encoded in introns the biogenesis of which starts with splicing. They are not processed by Drosha and enter the canonical pathway at the Exportin-5 level. Mirtrons are much less evolutionary conserved than canonical miRNAs. Due to the differences, canonical miRNA predictors are not applicable to mirtron prediction. Identification of differences is important for designing mirtron prediction algorithms and may help to improve the understanding of mirtron functioning. So far, only simple, single-feature comparisons were reported. These are insensitive to complex feature relations. We quantified miRNAs with 25 features and showed that it is impossible to distinguish the two miRNA species using simple thresholds on any single feature. However, when using the Principal Component Analysis mirtrons and canonical miRNAs are grouped separately. Moreover, several methodologically diverse machine learning classifiers delivered high classification performance. Using feature selection algorithms we found features (e.g. bulges in the stem region), previously reported divergent in two classes, that did not contribute to improving classification accuracy, which suggests that they are not biologically meaningful. Finally, we proposed a combination of the most important features (including Guanine content, hairpin free energy and hairpin length) which convey a specific pattern, crucial for identifying mirtrons.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Rorbach G,Unold O,Konopka BMdoi
10.1038/s41598-018-25578-3subject
Has Abstractpub_date
2018-05-15 00:00:00pages
7560issue
1issn
2045-2322pii
10.1038/s41598-018-25578-3journal_volume
8pub_type
杂志文章abstract：:In this study, the effects of different feeding frequencies on the growth and the expression of genes in the GH/IGF axis were assessed in juvenile Chinese sturgeon. The newly hatched Chinese sturgeons were bred for 38 days at three different feeding frequencies groups (feeding frequency of two times a day, TWD; three ...
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pub_type： 杂志文章,随机对照试验
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pub_type： 已发布勘误
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更新日期：2015-08-03 00:00:00
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更新日期：2016-01-20 00:00:00
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更新日期：2016-03-18 00:00:00
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