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After successfully eliminating institutional variations and merging multiple datasets, we generated a training cohort of 1073 and a testing cohort of 659.

By combining multiple datasets, we examine plausible causes for this disconnect by presenting a detailed analysis of the topography of both ranges utilizing established relationships between catchment-mean erosion rates and topography (local relief, hillslope gradients, and channel steepness) and combining it with a synthesis of previously published low-temperature thermochronologic data.

If we are integrating multiple datasets, we can search for correlated variables in each dataset.

To demonstrate the added values in combining multiple datasets, we also carried out connectivity mapping analysis on each dataset individually.

Since we used multiple datasets we applied the false discovery rate approach (FDR) at the 0.05 level as it is described by Benjamini and Hochberg (1995) [ 103].

By analyzing multiple datasets, we were able to identify recurrent ICNVs that harbor many cancer-related genes, suggesting genes in these regions are worthy of further study.

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We present a Bayesian method for the unsupervised integrative modelling of multiple datasets, which we refer to as MDI (Multiple Dataset Integration).

Discriminant function analysis (DA) is a powerful tool to extract specific patterns in multiple datasets and we used this approach to analyze the specific gut microbiota distribution patterns in our three cohorts.

The core intervals are independently detected in multiple datasets and we use this terminology to indicate very high confidence binding locations in the genome [ 51, 67].

To further minimize or remove nonbiological technical variations, such as batch effects caused by combining multiple datasets together, we applied ComBat using R package (sva_v3.4.0) to the pooled mRNA abundance levels 21; the sources of data were treated as batch effects and tumor grade was used as a covariate in ComBat.

In order to use survival analysis to validate the public signatures across multiple test datasets, we collected 31 breast cancer datasets containing both clinical survival data and gene-expression data.

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