Sentence examples for data that suffer from from inspiring English sources

However, these models make many assumptions and incorporate data that suffer from substantial incompleteness and inaccuracies.

Many statistical agencies, survey organizations, and research centers collect data that suffer from item nonresponse and erroneous or inconsistent values.

As reported, this type of testing often yields permeation data that suffer from poor reproducibility compounding the method variation with the sample non-uniformities (Ng et al. 2010; Chilcott et al. 2005).

However, studies aimed at measuring sedentary behavior have often used self-reported data that suffer from subjectivity [ 7– 9].

Relying on crowd sourcing and collaboration of multiple providers will result in data that suffers from a lack of structure and consequently consistency, heterogeneity, and disparity issues will have a greater chance to occur.

Developing a predictive model including interactions with data that suffers from missingness is easily done by identifying significant interactions and then applying backward elimination to a single data set imputed from the EM algorithm.

We argue that NGS assemblers can benefit from the use of a consensus step, particularly in the case of single-cell data that suffers from high error rates and non-uniform coverage (Chitsaz et al., 2011).

At the current level of methodology with samples that suffer from missing data like catalase, MicroED produces lower quality maps than synchrotron X-ray diffraction.

In both clean and shaly formations, this relationship can be applied safely for evaluating effective porosity specifically for old wells that suffer from insufficient logging data such as density-neutron logs and in the absence of core regardless the differences observed.

The ion yield of He n H x + and He n D x + (x=1, 2, 3) versus n is compiled in Figure 2. A few data points that suffer from contamination (as judged from an analysis of the peak shape and comparison with spectra recorded with undoped helium droplets) have been omitted.

The majority of existing data from these regions are EST traces that suffer from low gene coverage [ 47, 48]; efforts to expand these genomic data with high-throughput transcriptome sequencing may provide an alternative to whole-genome sequencing for the purpose of mapping gene content [ 49].