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More information on these datasets is found in Ramírez et al. (2007).

A high correlation of CPA between the two datasets is found across chromosomes, implying that CPA is robust to data from different genotyping sites [Additional file 5, Supplemental Figure S5 (B)].

The 2nd age-position in both datasets is found around 70 years of age and it is characterized by an enrichment of down-regulated genes, that cluster into well known aging-regulated processes [ 3] such as: apoptosis, mitochondria, hormonal signaling pathways and could mark tissue degeneration.

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Differences between the analysis datasets were found in the development of the trough and the horizontal distribution of moisture.

From a linear regression analysis the correlation coefficient between the two datasets was found to be highly significant for areas with a distinct phenological cycle.

All of the datasets are found to produce very similar regression lines, except the Takeo (2009) dataset, which has a greater slope.

In the case of ANN model, the distribution patterns of observed and estimated datasets were found to be dissimilar for fifteen among sixteen events considered (Table 8).

Discrepancies between the GIMMS and MODIS datasets were found in equatorial areas (broadleaved, evergreen forest), Arctic areas (sparse herbaceous or sparse shrub cover) and arid areas (herbaceous cover, closed open).

Three new diffuse models proposed in this study, one trained for each of the three datasets, were found to greatly exceed the performance of existing modeling techniques, with slight improvements over the Perez model.

Most of these disordered proteins in the disease datasets are found to be involved in neuronal activities, signal transduction, apoptosis, intracellular traffic, cell differentiation etc.

Interestingly, the types of "biological processes", where the components of the individual datasets are found to participate significantly, are very much characteristic of the functional/phenotypic imbalances recorded for the concerned diseases.

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