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To find the association between MLK4 expression and the specific subtype of breast cancer, we performed a transcriptomic analysis of multiple datasets, which showed that MLK4 is highly expressed in triple-negative breast cancer compared to other molecular subtypes.
Further the issue of statistical tests for comparison of algorithms on multiple datasets, which is even more essential in data mining studies, has been all but ignored.
For example, the availability of multiple datasets, which can be easily combined and analyzed, makes it very easy to infer sensitive information.
OmicsViz also manages multiple datasets which are associated with specific networks.
Here we propose a novel unsupervised approach for the integrative modelling of multiple datasets, which may be of different types.
This is supported by the fact that this topology is only evident when multiple datasets (which, if taken individually, often show an apparent negative correlation) are combined.
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Experiments are conducted on multiple public datasets, which demonstrate the superiority of our approach in terms of both effectiveness and efficiency when compared to the state-of-the-art.
At the Bradys geothermal field, a 3D geologic model was generated using multiple geoscience datasets, which included: (1) geological and structural mapping, (2) interpreted seismic sections, and (3) geological well logs (Faulds et al. 2012 and unpublished mapping; Siler and Faulds 2013; Siler et al. 2016b).
Finally, the meta-analysis framework ensures that the majority of findings are supported by multiple, independent datasets, which significantly increases the overall confidence of our results.
MI addresses the limitations of single imputation by using multiple imputed datasets which yield unbiased estimates, and also accounts for the within- and between-dataset variability.
The national linkage infrastructure has been successfully used to join together records from multiple administrative datasets which belong to the same person.
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