Titlebook: Intelligent Computing Theories and Application; 15th International C De-Shuang Huang,Kang-Hyun Jo,Zhi-Kai Huang Conference proceedings 2019

共同時(shí)代

Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programntrol and people’s daily activities and production plans. However, the prediction accuracy is greatly affected by nonlinear and non-stationary features of precipitation data and noise. Many researches show that Multi-cellular Gene Expression Programming (MC-GEP) algorithm has strong function mining

florid

,Integrative Enrichment Analysis of Intra- and Inter- Tissues’ Differentially Expressed Genes Based es. Differentially expressed genes between different tissues can help revealing the molecular basis of chronic diseases. Therefore, it is essential to develop new computational methods for the integrative analysis of multi-tissues gene expression data, exploring the association between differentiall

asthma

Identifying Differentially Expressed Genes Based on Differentially Expressed Edges,here are many methods developed to detect DE genes based on either fold-change (FC) strategy or statistical test. However, majority of those methods identify DE genes by calculating the expression values of individual genes, without taking interactions between genes into consideration. In this study

奴才

極大痛苦

膽汁

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences,t-microbiota relationship is found to cause different types of human complex diseases. Discoverying the associations between microbes and the host health statuses that they affect could provide great insights into understanding the mechanisms of diseases caused by microbes. However, experimental app

initiate

,Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions,nnect drugs and targets. However, such approaches do not fully exploit all the information available in all similarity networks which can be considered as multiple domain representations of DTIs. As more comprehensive understanding of the latent knowledge underlying the DTI networks requires combini

細(xì)胞膜

Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model,sm of action potential. It can not only simulate the periodic firing, chaos and periodic-adding bifurcation that the original Chay model can simulate, but also simulate the rhythm that the original model cannot simulate, which enhances the simulation ability of the model. The simulation results show

Dawdle

Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs,e state stability of protein tertiary structure. Therefore, the research on the free energy of GPCR is of great significance. At present, there is a lack of goldenfree energy constraint GPCR structure in helix domain level in the current researches, which affects GPCR’s three-dimensional structure s

FOIL

Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data, computational biology research. However, the infiltration of different types of cells and the high variability in gene expression complicate classification of cell types. In this study, we propose an improved spectral clustering method for clustering single-cell data that avoid the overfitting issu