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So far, the modifications seem to be working.
To rectify these issues, we modify TFA by including measurement uncertainties in its computation, including ancillary data correlated with noise, and choosing a template set using unsupervised learning approaches such as Agglomerative Hierarchical and KMeans Clustering similar in spirit to a paper by Kim et al. These modifications seem to reduce the variability of lightcurves without over-fitting.
Some of these modifications seem to have evolved very early in the history of echinoderms, whereas others probably evolved during the subsequent diversification of adult and larval morphology.
Age-associated modifications seem to be regulated in a cell type specific manner.
In addition to direct control of gene transcription, post-transcriptional modifications seem to be very important for T cell development, homeostasis and activation as well.
These two post-translational modifications seem to be linked since, in at least some cases, tyrosine phosphorylation is monoubiquitination-dependent [11].
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The intracellular redox status and the closely associated membrane modifications seemed to be related to membrane instability, loss of surface area through vesiculation, echinocytosis and stomatocytosis.
No number of modifications seems to be changing that.
However, the magnitude of the transcriptome modifications seemed to be earlier, faster, and bigger in septic shock, as regards of the extent and rapidity by which the deregulation occurred.
The link between DNA methylation and histone modifications seems to be mediated by Methyl CpG DNA binding proteins, a member of which MeCP2 plays an important role to establish this interaction [14].
Rural development in the form of sanitation and environmental modifications seemed to be a positive complement to the chemotherapy program.
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