BACKGROUND Analysis of gene-gene and gene-environment interactions for complex multifactorial human disease faces challenges regarding statistical methodology. One major difficulty is partly due to the limitations of parametric-statistical methods for detection of gene effects that are dependent solely or partially on interactions with other genes or environmental exposures. Based on our previo...

Recently Knüsel (2008) proposed a new method of orthogonal rotation based on chi-square statistic, the Chisquaremax criterion. However, its performance has not yet been evaluated for the effect of outliers. Thus, we assessed the factorial model with Chisquaremax criterion for the effect of outliers using Monte Carlo simulation techniques in different scenarios. The efficiency of covariance matr...

Human insulin-like growth factor I (hIGF-I) is a kind of growth factor with clinical significance in medicine. Up to now, E. coli expression system has been widely used as a host to produce rhIGF-1 with high yields. Batch cultures as non-continuous fermentations were carried out to overproduce rhIGF-I in E. coli. The major objective of this study is over- production of recombinant human insulin-...

With the resurgence of interest in neural networks, representation learning has re-emerged as a central focus in artificial intelligence. Representation learning refers to the discovery of useful encodings of data that make domain-relevant information explicit. Factorial representations identify underlying independent causal factors of variation in data. A factorial representation is compact an...