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As computational and experimental techniques probe into the mesoscale from smaller and larger scale levels, frameworks like cellPACK, that will unify and contextualize the diverse data, are needed to serve as platforms for consistent communication to facilitate interdisciplinary research.
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The superior verdict prediction of the inferred information from the massive diverse data is a challenge [1].
Another critical capability that is required (by humans or computer programs) to manage diverse data is to know what the data 'means'means
During analysis, diverse data were considered and were presented in the report as a typical pattern.
We took these measurements at times chosen to best address the heterogeneous results in existing data and indeed find that the consensus picture from our theoretical treatment amalgamating previous, diverse data, is supported.
Diverse data were collected from each case: (i) statistical information and unpublished reports; (ii) in-depth interviews and focus group discussions (FGD) with health care providers and adolescent members of youth organisations and (iii) observations of the health care facilities.
Here the diverse experimental data are integrated and presented in a protein-centric manner where information is queried and presented via common proteins and connected to experimental data and the network of protein attributes, including information on the encoding genes, protein families, pathways, functions and more.
These diverse GWAS data are integrated in a flexible and coherent data model that was described previously in an earlier incarnation of the database, named HGVbaseG2P.
In contrast, simulated evolution seems to help SMURFLite most on those structural motifs where the HHPred NEFF is lowest; i.e. it can generate diverse training data when diverse training data is lacking.
Identifiability is improved if diverse data types are used for parameter estimation.
Analyses using much more extensive, diverse, and representative data are needed for purposes of model validation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com