A novel two-layer SVM model in miRNA Drosha processing site detection
نویسندگان
چکیده
منابع مشابه
Characterization of DGCR8/Pasha, the essential cofactor for Drosha in primary miRNA processing
DGCR8/Pasha is an essential cofactor for Drosha, a nuclear RNase III that cleaves the local hairpin structures embedded in long primary microRNA transcripts (pri-miRNAs) in eukaryotes. Although our knowledge of pri-miRNA processing has significantly advanced in recent years, the precise role of DGCR8 in this pathway remains unclear. In our present study, we dissect the domains in DGCR8 that con...
متن کاملDrosha in primary microRNA processing.
MicroRNA (miRNA)-mediated gene silencing is one of the major regulatory pathways in eukaryotes. Much effort has been made to identify the factors involved in the pathway, and our understanding of RNA silencing has significantly advanced in recent years. Our group has been working on some of the issues regarding miRNA biogenesis and, in this paper, we summarize what we and other workers in the f...
متن کاملSVM-based miRNA: MiRNA∗ duplex prediction
We address the problem of predicting the miRNA:miRNA* duplex stemming from a microRNA (miRNA) hairpin precursor and we present a SVM-based methodology to address it. Predicting the miRNA:miRNA* duplex is a first step towards identifying the mature miRNA, suggesting possible miRNA targets and ultimately, reducing experimentation effort, time, and cost. We measure the error in terms of the absolu...
متن کاملA Novel Two-Stage Mathematical Model for Green Supplier Development
Nowadays, numerous processes of any supply chain are done by suppliers and consequently they cause a massive amount of pollution released to the nature. Hence, greening the suppliers has become a necessity. Although most of green supplier development programs need high investment, formal optimization models that address this issue are very rare. This paper mainly aims to address this prob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2013
ISSN: 1752-0509
DOI: 10.1186/1752-0509-7-s4-s4