Sentence examples for computational analysis and interpretation from inspiring English sources

TK performed the computational analysis and interpretation of the data and drafted the manuscript.

I.J.D, J.H., and M.R. performed computational analysis and interpretation of the data.

Biological pathway diagrams depict known processes and capture the interactions of gene products and metabolites, information that is essential for the computational analysis and interpretation of transcriptomics data.

We developed methods to help with the computational analysis and interpretation of state-rich time- and space-discrete Markov chain models in population genetics, focusing on the particularly challenging case of very dense matrices.

Incorporating multi-source information, including prior knowledge (i.e., pathway information) [ 38, 39], multi-scale or different levels of information [ 40- 42], or additional time-series datasets from other sources [ 31, 32], is another approach to address the limited sampling and to improve the computational analysis and interpretation of short time-series microarray data.

SS contributed to the design of the analytic strategy and was responsible for the computational analysis and its interpretation.

The left loop depicts the typical omics workflow from data generation, processing, and statistical analysis followed by downstream computational analysis and biological interpretation leading to new hypothesis generation.

WL, MSF, KDH and PJW conceived and designed the study; WL conducted the computational analysis and result interpretation; MSF conducted the microarray experiment.

This opens the possibility for pathway information to be accessed by other software tools for data visualization, computational analysis and the interpretation of large-scale experimental data.

Confero includes a local database for storage and management of data and metadata as well as tools for downstream computational analysis and biological interpretation, including gene set enrichment analysis (GSEA) and over-representation analysis (ORA) [ 17].

Computational analysis and biological interpretation of omics data can pose significant challenges due to a number of factors, in particular the systems integration required to fully exploit and compare data from different studies and/or technology platforms.