A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration

A lot of research studies have shown that many complex human diseases are associated not only with microRNAs (miRNAs) but also with long noncoding RNAs (lncRNAs). However, most of the current existing studies focus on the prediction of disease-related miRNAs or lncRNAs, and to our knowledge, until now, there are few literature studies reported to pay attention to the study of impact of miRNA-lncRNA pairs on diseases, although more and more studies have shown that both lncRNAs and miRNAs play important roles in cell proliferation and differentiation during the recent years. The identification of disease-related genes provides great insight into the underlying pathogenesis of diseases at a system level. In this study, a novel model called PADLMHOOI was proposed to predict potential associations between diseases and lncRNA-miRNA pairs based on the higher-order orthogonal iteration, and in order to evaluate its prediction performance, the global and local LOOCV were implemented, respectively, and simulation results demonstrated that PADLMHOOI could achieve reliable AUCs of 0.9545 and 0.8874 in global and local LOOCV separately. Moreover, case studies further demonstrated the effectiveness of PADLMHOOI to infer unknown disease-related lncRNA-miRNA pairs.

Literacy Virtual Entrepreneur in Indonesia

The potential strength of entrepreneurship in Indonesia lies in the potential of human resources who are a literate internet. Nevertheless, there are still some weaknesses that are not yet equal to the ability. The problem is how is the condition of Indonesian entrepreneur about its virtual literacy? Construct Validity uses the Item Response Theory (IRT) approach through Orthogonal Iteration. The reason, because all dimensions and indicators are the results of the theoretical studies are called as signs of the variables Literacy Virtual Entrepreneur Indonesia (Y). The number of samples of the instrument test was 81 entrepreneurs consisting of 27 districts/cities each represented 3 entrepreneurs. The R-criteria of the Product Moment is set at 0.221. Of the 32 items planned, proved to be all valid. The reliability of "valid instrument" of the Virtual Literacy variables of Entrepreneur Indonesia (Y) as internal consistency is calculated by Cronbach Alpha formula, the result is 0.892. Research methods with Neuroresearch. The result of the research: Firstly, Indonesian entrepreneurs tend to be significantly virtual literate on α <0,05. Second, having the capacity to realize information technology literacy (X4) is the most powerful indicator to realize the formation of Literacy Virtual Entrepreneur Indonesia (Y). It is able to determine an increase of 83,521 times from the condition of Literacy Virtual Entrepreneur Indonesia (Y).