Sentence examples for integrated datasets from from inspiring English sources

Although currently in CPD we have integrated datasets from RNAi-based high-throughput phenotypic studies only, the same data management methodology could be used for aggregation of data generated in other types of systems microscopy experiments.

Further investigation on DFI features may lead to effective methods for integrating datasets from multiple modalities (e.g., microarray and RNA-seq).

Since all datasets are normalized to allow integrating datasets from multiple sources, a large number of samples from different tissues can be compiled into a single data set where each row represents one gene and each column represents one tissue.

It can not only provide an additional tool for further annotation of vector genome, but can also serve as a novel platform to integrate datasets from different experiments in order to dissect complicated biological processes in insect vectors.

Experimental data can be either an individual omics dataset or an integrated dataset resulted from abovementioned methods.

Hence, during downstream bioinformatics analysis researchers face challenges when attempting to integrate datasets derived from different species, and even from the same species when differences exist between the exact protein sequence databases used.

The model provides a spatially referenced, hierarchical system for integrating datasets originating from different forest inventory and monitoring programs and includes a structure that allows for tracking of land areas by different land-use and land-use change classes.

From the integrated dataset, we formed two groups.

In this study, we propose a methodology for comparative analysis and ranking of diagnostic tests across population groups, by integrating datasets and imputing data using datasets from sample populations.

We also used both fee-for-service (FFS) Medicare data from CMS and Medicare Advantage (MA) health plan data, which required integrating datasets from different sources with variation in data format and availability.

Compromised results are most likely when re-analysing or integrating datasets from public repositories due to the different conditions under which each dataset is generated.