Multi-sensor data fusion of E-tongue and E-nose can provide a more comprehensive and more accurate analysis results. However, it also brings some redundant information, it is a hot issue to reduce the feature dimension for pattern recognition. In this paper, the taste-olfactory data fusion based on E-tongue and E-nose combined with Support Vector Machine (SVM) was used to classify five different beers. First, the taste and olfactory feature information were obtained based on E-tongue and E-nose. Second, the original feature data of single system were fused, then Principal Component Analysis (PCA) was applied to extract principal components, Genetic Algorithm-Partial Least Squares (GA-PLS) was used to select the characteristic variables, 20 subsets were generated with those variables based on the best Variable Importance of Projection (VIP) score. Finally, the classification models based on SVM were established, also c and g of SVM were calculated by Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the classification results of all subsets were obtained. The results showed that the classification accuracy using data fusion was much higher over single E-tongue and single E-nose, and the variable selection method by VIP had the best classification performance in #12 subset coupled with GA-SVM.

Background X antigen family member 1B (XAGE-1b), a member of XAGE subfamily and GAGE family, is upregulated in some malignant tumors and has been associated with the proliferation, invasion and metastasis of tumors. However, the biological roles of XAGE-1b in gastric cancer (GC) still remain unclear. Methods We detected the expression of XAGE-1b in 60 paired fresh tissues of GC patients by real-time RT-PCR. Kaplan-Meier survival curve was explored to analyze 5-year survival time of GC patients. Function experiments were performed to estimate the role of XAGE-1b on the proliferation, invasion and metastasis of GC cells. Informatic analysis was applied to investigate the potential mechanisms. Results XAGE-1b was obviously upregulated in GC tissues. XAGE-1b was correlated significantly with poor prognosis of GC patients. XAGE-1b markedly promoted the proliferation and invasion in GC cell lines in vitro. Knockdown of XAGE-1b promoted the pulmonary metastatic ability in nude mice. Moreover, XAGE-1b was positively or negatively correlated with the expression of CLDN6 and CHGA, which regulated the progression of GC. Conclusions XAGE-1b could act as an oncogene in GC, which provides a potential biological marker or treatment target for GC.