The phrase "multilayered data" is grammatically correct and can be used in written English.
It refers to information or data that has multiple layers or levels of complexity, such as different categories or levels of organization. Example: "The researchers used advanced technology to analyze the multilayered data collected from the study participants, revealing new insights into their behavior and thought processes."
We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies.
In the case presented here, we opted to load and provide the genome sequence and annotation through IMG/M, a system that has been maintained by the Department of Energy for over a decade and that facilitates comparative analysis and visualization of multilayered omics data (Chen et al. 2016).
At terminal stages, a devoid pocket remained with small bits of chromatin and little else other than multilayered membranous organelles (data not shown).
Last year, Congress repealed a Depression-era law that had restricted banks from entering the securities and insurance industries, and in doing so, opened the way for multilayered companies to share data on their customers.
In Arena3D, we initially arrange data in multilayered graphs in 3D, where the data are separated into different data types, one type per layer.
And in each of the first five deals where it was chosen, Standard & Poor's offered higher grades than its competitors to at least a portion of the multilayered deals, according to the data from Commercial Mortgage Alert.
Angle resolved photoemission data for the multilayered sample n = 3 showed that the emission profile has a metallic-like momentum dispersion.
The models created with VCell can range from the simple, to evaluate hypotheses or to interpret experimental data, to complex multilayered models used to probe the predicted behavior of spatially resolved, highly nonlinear systems.
In general, clinical decisions are based on a diagnostic model consisting of multilayered pattern recognition of multiple data inputs linked to scientific reasoning about causality.
The Cancer Genome Atlas (TCGA) [ 1] is probably the most ambitious of these initiatives offering a multilayered view of genomics and epigenomics data together with clinicopathological information of more than 30 human cancer types.
