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In this study, we have updated the gravity field of Tahiti by adding datasets from a new airborne mission, a land survey campaign and a new result of altimeter data processing.
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Towards this aim, we extended the available sheep dataset by adding samples from the original Spanish Merino sheep breed and from additional Merino-derived populations.
We have doubled the compendium by adding 60 new ChIP datasets from 18 recently published studies [16 33] and ENCODE murine unpublished datasets to obtain genome-wide binding patterns for 53 unique transcription factors in 15 major blood lineages and three types of leukemia (Table 1).
In this study, we reanalyzed the above-mentioned genome quartets by adding homologous sequences from sixty reference genomes to each QuartOP creating what we call "extended datasets".
Consequently, we expanded our dataset by adding 4 unitary EPSPs recorded from connected L2/3 L2/3 PCs for which the location of synaptic contacts and dendritic morphology were not known (Fig. 1 c).
We constructed another five realistic simulation datasets by adding these properties to SD1-SD5.
We used real genotypes of purebred Microcebus griseorufus and M. murinus from Tsimelahy to simulate 100 local datasets with the same size and composition as in simulation A. We then enlarged each dataset by adding 100 purebred individuals of each species, which we simulated based on purebred genotypes from Hazofotsy and Ambatoabo.
Because we used all datasets for analysis, we adjusted the correlation between datasets from the same study by adding the same number for each study in the subject statement of the random effects approach.
The resulting weights could then be used in expanding the seed network by adding new links based on evidence from multiple datasets.
Using a naive Bayes framework on datasets of Crohn's disease and Type 1 diabetes, the posterior score of each gene was obtained by adding its own log odds from GWAS (as prior) and a soft GBA score from neighbors.
We also added in datasets from tandem affinity purification with mass spectrometry using the diffusion kernel, and the integration of all kernels by summing them after normalization, as in previous studies (Bleakley et al., 2007; Yamanishi et al., 2005).
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