To train the CSIDOP method, we integrated protein-protein interaction (PPI) data from the organisms S. cerevisiae, C. elegans, and D. melanogaster, in addition to the large data set from H. sapiens.
Using an elastic-net regularized regression method we integrated genomic alteration data from different genomic platforms as well as clinical meta-data from TCGA.
Further, to improve the performance of the proposed method, we integrate the LQEP with color RGB histogram for image retrieval.
In this method, we integrate a multi-Gaussian fitting feature extraction method and an LSTM-based damage identification method to develop a health monitoring system with available vibration signals.
To rigorously assess our method, we integrate previously disparate lines of research on intelligent topic selection and deep vs. shallow judging (i.e., whether it is more cost-effective to collect many relevance judgments for a few topics or a few judgments for many topics).
Therefore, when the homogeneity sensitivity is small, it is possible to reinforce the visibility factor α. In the proposed method, we integrate an intelligent process which is able to automate the value of the visibility factor in terms of the psychovisual quality of the corresponding insertion space.
Through comprehensive application of various methods, we integrated the most effective basic classifiers so as to optimize the classification results.
Although the binding assays and quantitative analysis have not changed dramatically compared to the original methods, we integrate all the parts to calculate the parameters in one concise protocol and adjust many details according to our experience.
In this study, information of mRNAs and miRNAs expression profiles retrieved from different molecular methods; therefore we integrated the data of miRNA and gene expression as not matched samples by MAGIA tool (http://gencomp.bio.unipd.it/magia) because matched data (samples have been produced in a lab) were not available.
By the proposed polling method, we can integrate the sequential and simultaneous polling methods properly according to the interference condition.
By the proposed polling method, we can integrate the sequential polling method in [8], which was originally developed to support the uplink data transmission from the STAs to the AP, and the simultaneous polling method in [7] properly according to the interference condition.
