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On the other hand, identification of different subtypes of components of NikMNQO/NikKMLQO made here also implied a complex evolutionary dynamics of Ni uptake in prokaryotes.
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In order to illustrate the pathogenesis of different subtypes, identification of context-dependent miRNA-mRNA functional regulatory modules (MFRMs) is important.
The necessity of a subtype specific blocker is unavoidable because of occurrence of different subtypes in different tissues.
Four main histological subtypes are recognised, although some cancers may contain a combination of different subtypes.
The importance of identification of these different subtypes is that they differ in clinical outcome and molecular subtype signatures thus help predict clinical outcome and response to therapy.
The identification of the different subtypes in pathophysiology of Nav channels has provided a rational basis for selective intervention in clinic treatment and some drugs have shown therapeutic value in Nav channelopathies (Ragsdale and Avoli, 1998; Mantegazza et al., 2010; Payandeh et al., 2012; Bagal et al., 2013; McCormack et al., 2013; Bagnéris et al., 2014).
The identification of different ALL subtypes, the characterization of prognostic features, and the finding that ALL subtypes differ in their response to therapy has greatly facilitated the development of treatments tailored to specific subgroups [ 1- 3].
In addition, in recent years, enormous progress has been achieved in the identification of different macrophage subtypes by flow cytometry, a technique that allows quantitative detection of surface antigens that reflect different macrophage populations (Geissmann et al. 2003, 2010).
Therefore, identification of different (epi genetic profiles will allow for a new classification of HNSCC into molecular subtypes.
In this scenario, the identification of overexpressed molecules in different subtypes of lung cancer may help identify potential targets for combined therapy.
Here, we report the identification of 18 novel and highly significant SNPs that are associated with at least one of 4 different subtypes of ASDs, based on the combination of quantitative trait association analyses and subtype-dependent genetic association analyses using trait-associated SNPs, with 10 of these SNPs replicated in a second ASD subtype representing an independent case cohort.
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