Sentence examples for unique dependencies from inspiring English sources

Exact(2)

Several unique dependencies were observed, including threshold voltage (Vth) shifts in the 2D NC-FET (compared to the 2D-FET) that correlate with source/drain overlap capacitance and changes in HZO (ferroelectric) and HfO2 (dielectric) thicknesses.

The inherent vulnerability of t-hPSCs to Nanog suggests that functional characterization of TFs governing the pluripotent state may reveal unique dependencies of SCs upon entry into neoplastic, transformed states of self-renewal.

Similar(58)

Anyway, there is unique dependency of ESCs on CDK1 activity (Huskey et al. 2015).

The promise of virtualization is that you can write applications and services that have no unique dependency on what is below in the infrastructure.

Results were compared with prior screening results and validation experiments performed in MLL-AF9/NrasG12D AML to identify TRIM33 was a unique dependency in B-ALL (Zuber et al., 2011b ).

In either case, the chloroplast genome of Klebsormidium is unusual in lacking the 5S rRNA gene, 4.5S-homologous region, and six ribosomal protein genes typically present in streptophyte chloroplast genomes and displays a unique dependency on the nucleus for chloroplast protein synthesis.

New capabilities in the computational and bioanalytical characterization of metabolism have now emerged, facilitating the identification of unique metabolic dependencies that arise in specific cancers.

mSWI/SNF-deficient cancers remain a therapeutic challenge, owing to a lack of potent and selective agents which target complexes or unique pathway dependencies generated by mSWI/SNF subunit perturbations.

Accumulating evidence indicates that exploiting the unique metabolic dependencies of tumor cells represents an exciting new direction of targeted therapy (Pathania et al., 2009; Kishton and Rathmell, 2015).

The decay rate of energy and angular momentum show dependencies unique to the case on hand.

Notice that depending on the specific perturbation data (transient, steady-state, time-courses) other, possibly non-linear correlation measures such as mutual information might be better suited to quantify strengths of associations (Daub et al., 2004), though linear measures appear to be appropriate if monotone dependencies (unique edge signs) can be assumed.

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