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نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy.
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy.
 
لغة الوثيقة : الانجليزية 
المستخلص : The microRNA (miRNA), a small non-coding RNA molecule, plays an important role in transcriptional and post-transcriptional regulation of gene expression. Its abnormal expression, however, has been observed in many cancers and other disease states, implying that the miRNA molecules are also deeply involved in these diseases, particularly in carcinogenesis. Therefore, it is important for both basic research and miRNA-based therapy to discriminate the real pre-miRNAs from the false ones (such as hairpin sequences with similar stem-loops). Most existing methods in this regard were based on the strategy in which RNA samples were formulated by a vector formed by their Kmer components. But the length of Kmers must be very short; otherwise, the vector's dimension would be extremely large, leading to the "high-dimension disaster" or overfitting problem. Inspired by the concept of "degenerate energy levels" in quantum mechanics, we introduced the "degenerate Kmer" (deKmer) to represent RNA samples. By doing so, not only we can accommodate long-range coupling effects but also we can avoid the high-dimension problem. Rigorous jackknife tests and cross-species experiments indicated that our approach is very promising. It has not escaped our notice that the deKmer approach can also be applied to many other areas of computational biology. A user-friendly web-server for the new predictor has been established at http://bioinformatics.hitsz.edu.cn/miRNA-deKmer/, by which users can easily get their desired results. 
ردمد : 00225193 
اسم الدورية : J Theor Biol 
المجلد : 385 
العدد : 1 
سنة النشر : 1436 هـ
2015 م
 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Sunday, April 24, 2016 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Bin LiuLiu, Bin باحث رئيسي bliu@insun.hit.edu.cn
Longyun FangFang, Longyun باحث مشارك dragoncloudest@gmail.com
Shanyi WangWang, Shanyi باحث مشارك wangshanyiwsy@gmail.com
Xiaolong WangWang, Xiaolong باحث مشارك wangxl@insun.hit.edu.cn
Hongtao LiLi, Hongtao باحث مشارك lht760@126.com
Kuo-Chen ChouChou, Kuo-Chen باحث مشارك kcchou@gordonlifescience.org

الملفات

اسم الملفالنوعالوصف
 38658.pdf pdf 

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