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By learning how informative each dataset is with respect to each gold standard, we reweighted the datasets, combined them to infer a single genome-wide functional network in each context of interest, and analyzed the resulting networks as detailed below to generate novel biological hypotheses.

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This dataset is captured with an AXIS Q1922 LWIR sensor with approx. 25 fps.

The dataset is incomplete, with some velocities missing.

The dataset is provided with 20 training/testing splits.

This dataset is identical with the estrogen receptor dataset of FDA-EDKB described above.

Each experimental dataset is presented with and without pile-up filtering using a previously developed algorithm.

The range for AvgPrice i in our dataset is $4 to $42, with a mean value of $9.54.

The ETHZ dataset is used with the SDALF and SDC(_{knn}) method.

Firstly, each dataset is analyzed with regression analysis of a statistical method.

This unbalanced dataset is realistic with proportion of phishing emails in large-scale mail systems.

However, the NNR performance improves when the dataset is extended with related data.

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