Sentence examples for data is challenging and from inspiring English sources
We have few studies that adequately explore the response of natural systems to environmental change, because collecting the necessary data is challenging and simple surveys of one or two aspects of a population or ecosystem are often insufficient to provide useful understanding.
Analyzing RRBS sequencing data is challenging and specialized alignment/mapping programs are needed.
Collecting trio data is challenging and, in many instances, recruited trios are incomplete, with missing parental genotypes adding to the difficulties of achieving adequate sample sizes.
However, as several studies have failed to discriminate clearly between the effects of HA of different sizes, an unambiguous interpretation of these data is challenging, and new data will be required to resolve this issue.
Length-frequency analysis has been used to derive growth estimates in two earlier studies (Wandera and Wanink 1995; Wanink 1998); however, interpretation of these data is challenging, and there is clearly a need for additional aging studies.
Also, measuring unintended pregnancies (including those that were mistimed and unwanted) using demographic survey data is challenging, and recall bias can arise when asking women retrospectively about former pregnancies [ 10].
Extracting useful information and discovering text spatial distributions from the data are challenging and meaningful.
However, with the current technology, unbiased reconstruction from comprehensive and high-throughput data is challenging; statistical tools are immature and inherent measurement errors and biological noise continue to present problems [ 10].
However, comparing isoform‐specific protein and mRNA data is challenging due to mapping inconsistencies (e.g., Ensembl genomic annotations vs UniProt), and would be significantly improved with increased sequence coverage.
Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities.
Investigating facial regions and subsequent reliable signal extraction from IRI data is challenging due to head motion artefacts.
