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All datasets showed a high degree of fit with the DFA model, with longer task runs producing better model fits.
Principle component analyses (PCA) of the data from Indian samples and these datasets showed a strong separation of one set of Chinese data (Chinese_Study_2) (Fig. 6A), corresponding to samples collected from subjects suffering from advanced gastric cancer.
Bayesian and parsimony analysis of the combined ITS (nrDNA) and trnL-F (cpDNA) datasets showed a well-supported clade of the whole Vanguerieae containing four Philippine endemic representatives of Pyrostria group B. The placement of Canthium oligophlebium, Canthium obovatifolium and Canthium ramosii within Pyrostria s.s.s
The PLS-DA model built using unprocessed datasets showed a complete separation between the two groups.
Notably, initially only the HR clusters from the two datasets showed a significant association, and only after their removal could we identify the significant association for the OxPhos and BCR subtypes [7].
The comparison between mRNA datasets showed a clear delineation between mid-bloom and post-bloom, with mid-bloom mRNA sharing ∼50% of their nucleic acid transcripts and post-bloom sharing >95% of their nucleic acid transcripts.
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Experimental results on multiple datasets showed an average speedup of 8.1× compared to serial implementations.
Solid component tumors showed an association with increased CC+ and decreased complement pathways in two of the three datasets while all three datasets showed an association between solid component and decreased Wnt signaling.
While all these land cover datasets show a reasonable agreement in terms of surface types and spatial distribution patterns, mapping of heterogeneous landscapes in the four products is not very successful.
All datasets show a large global net freshening amounting to ~0.044 Sv for CSIRO, ~0.025 Sv for Ishii and ~0.029 Sv for En4 that is of the same order of magnitude with the water cycle increase (i.e. ~50 80% of Fcycle').
The histogram of both datasets shows a bimodal distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com