Serum interleukin 6 levels as a useful prognostic predictor of clinically amyopathic dermatomyositis with rapidly progressive interstitial lung disease[J]. Mod Rheumatol, 2014,24(4):633-636. DOI: 10.3109/14397595.2013.844390 返回引文位置Google Scholar 百度学术 万方数据 8. Wang Y , Jia H ,...
We then start to build the first model (1st step) to predict RNA binding regions on proteins for the three-step RPI-Bind (RNA-protein binding region predictor) method (Fig. 1). We developed a Random Forest (RF)-based machine learning method for the prediction of RNA binding sites on pro...
To treat the nonlinearity, a simple predictor-corrector scheme is performed. Also the integral term, which is a kind of convolution, is treated by the cubic spline interpolation. The numerical studies on sensitivity analysis and convergence analysis show that our approach is stable. Finally, two ...
The sequence-based meta predictor, mAHTPred, uses several machine-learning algorithms, including support vector machine, random forest, gradient boosting, and extremely randomized tree for the prediction of antihypertensive peptides (Manavalan et al., 2019). In total, 101 peptides were predicted as...
Serum interleukin 6 levels as a useful prognostic predictor of clinically amyopathic dermatomyositis with rapidly progressive interstitial lung disease[J]. Mod Rheumatol, 2014,24(4):633-636. DOI: 10.3109/14397595.2013.844390 返回引文位置Google Scholar 百度学术 万方数据 8. Wang Y , Jia H ,...
Results indicated that Agreeableness (尾= .298, t= 2.620, p<.05) was found to be best predictor to well-being and Extroversion (尾= .186, t= 1.570) was found to be the best pred...