scholarly journals Location predicting methods for UAVs

2017 ◽  
Author(s):  
Xiaodong Peng ◽  
Yu Zhang
Keyword(s):  
Predicting Methods

scholarly journals Settlement-time behavior of peat ground and applicability of conventional predicting methods

2011 ◽  
Vol 6 (3) ◽  
pp. 395-414 ◽  
Author(s):  
Nobutaka YAMAZOE ◽  
Hiroyuki TANAKA ◽  
Hirochika HAYASHI ◽  
Toshiyuki MITACHI
Keyword(s):  
Time Behavior ◽  
Settlement Time ◽  
Predicting Methods

Evaluation of different predicting methods in forecasting Hungarian, Italian, and Greek lamb prices

2010 ◽  
Vol 7 (2-4) ◽  
pp. 192-196 ◽  
Author(s):  
Veronika Fenyves ◽  
Ildikó Orbán ◽  
Krisztina Dajnoki ◽  
András Nábrádi
Keyword(s):  
Predicting Methods

scholarly journals LncRNA-Encoded Peptide: Functions and Predicting Methods

2021 ◽  
Vol 10 ◽  
Author(s):  
Jiani Xing ◽  
Haizhou Liu ◽  
Wei Jiang ◽  
Lihong Wang
Keyword(s):  
Mrna Stability ◽  
Muscle Function ◽  
Tumor Therapy ◽  
Open Reading Frames ◽  
Regulatory Pathways ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Long Non Coding Rna ◽  
Reading Frames ◽  
Predicting Methods

Long non-coding RNA (lncRNA) was originally defined as the representative of the non-coding RNAs and unable to encode. However, recent reports suggest that some lncRNAs actually contain open reading frames that encode peptides. These coding products play important roles in the pathogenesis of many diseases. Here, we summarize the regulatory pathways of mammalian lncRNA-encoded peptides in influencing muscle function, mRNA stability, gene expression, and so on. We also address the promoting and inhibiting functions of the peptides in different cancers and other diseases. Then we introduce the computational predicting methods and data resources to predict the coding ability of lncRNA. The intention of this review is to provide references for further coding research and contribute to reveal the potential prospects for targeted tumor therapy.

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