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Topographic legacy datasets come from a variety of field and remotely sensed sampling techniques and instrumentation (Wasklewicz et al. 2013).
The datasets come from a nutrigenomic study in mouse [ 11].
Datasets come from a number of different institutions around the world, and patient backgrounds differ.
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Authors and reviewers in the Frontiers and the IEEE International datasets come from all over world.
Using mouse data also allows more datasets, coming from a more diverse set of experiments [ 18].
Since the datasets come from various agencies and transportation companies which have adopted different indexes, the first step to reliably build transportation network after merging datasets is to re-index stop locations to avoid any conflicts.
The eight datasets come from [ 9].
These datasets come from the common H1hesc cell line.
The CNS Rat and Yeast datasets come from gene functionality studies.
While the S.typhi dataset comprises small-scale interaction studies, the other datasets come from high-throughput experiments.
The two experimental datasets come from the FANTOM3 database of full-length cDNAs that do not code for proteins (Carninci et al. 2005).
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