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Still, he understands privacy, data storage and data ownership issues will need to be addressed as data science takes hold of various industries.
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Different modelling approaches serve to highlight certain aspects of a biological system, and which modelling approach is most appropriate depends on the biological questions that are being addressed, as well as on the available data that could be used to calibrate or validate a given model.
Types of arrays and the data they collect are addressed, as are the types of results that array comparative genomic hybridization studies may generate.
The IASLC is determined that over future revisions these shortcomings will be addressed as prospective data are accrued.
Since traditional supervised classifiers cannot scale large datasets, the supervised classification for the POD problem should be addressed as a big data classification problem according to [ 31– 33] and big data solutions should be applied for binary classification in imbalanced data such as the ones presented in [ 34] based on MapReduce [ 35].
In addition, the question of whether it is FTH (mammography, cytology or core biopsy) or surgical intervention that is important can be addressed, as menstrual cycle data were collected for each intervention (including further surgery), making this study unique.
Several open issues caused by the big data will be addressed as the platform/framework and data mining perspectives in this section to explain what dilemmas we may confront because of big data.
Therefore, understanding whether or not NF-κB p65 is involved in IFN production to RV is extremely important and this key issue is yet to be addressed as there are no data reported on the causal role of p65 or type I IFN in lung host defence against RV infection using in vivo human and mouse models of RV.
The manuscript has been improved but there are some remaining issues that need to be addressed, as outlined below: 1) Data are added to show SIGN-R1+ staining of isolated LN macrophages by fluorescence microscopy of sorted cells.
The application of our derived technique might give some hints to the understanding of the large-scale asymmetric ductile deformation feature along MTL although more details might need to be addressed as compared to the GPS data through modeling.
The volume, inconsistency and relevance of raw data needs to be addressed, as does the ability to make it contextual – but without applying human bias to make the data fit or support a preconceived assumption or forecast.
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