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Contrary to lower-resolution data currently used for ice-sheet models, these data show a contrasting topography across the ice-bed interface.
However, due to different feature sets used by these two models, these data do not necessarily indicate that SVM is more effective than ANN for active enhancer recognition.
While the effects of Congaplex® and Immuplex® differed in these two models, these data demonstrate that the aqueous extracts from these two dietary supplements can affect the inflammatory response of T lymphocytes.
Given the similarity between these two models, these data support the concept that cyclin D1b induction is not sufficient to restore the growth retardation phenotype observed in Ccnd1−/− mice and highlights the functional differences between the two cyclin D1 isoforms.
In contrast with the conclusions from the rodent CRC models, these data suggested a protective, antineoplastic role of IL-4Rα-dependent signalling during AOM-induced initiation of colorectal carcinogenesis in BALB/c mice, but stopped short of determining the individual roles of the T helper 2 cytokines and the IL-4Rs in protection from carcinogen-induced carcinogenesis.
Although our work and the study of Lee et al. used different models, these data suggest that any block to SC degeneration by MG132 must be downstream of c-Jun induction since MG132 enhanced the level of c-Jun induced by NRG1.
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Modeling these data was based on a non-electrostatic approach.
Modeling these data begins with the Poisson regression model has been used for several years.
So, the PCNB distribution can be used effectively to model these data.
An alternative approach for modeling these data can be provided by the LW distribution.
A normal distribution with a log link function is chosen to model these data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com