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We subsequently selected five platforms in an effort to illustrate a range of different perspectives and diverse models of action.
Once we determined which TKIs had the most significant reversal effect, such as imatinib and nilotinib, we subsequently selected three concentrations (1, 2.5 or 5 µM) for each TKI to determine whether their reversal effects were concentration-dependent to paclitaxel, vincristine and doxorubicin.
We subsequently selected it as the best model for the protein structure.
Similar to the RFE approach, we subsequently selected the voxel set with the peak classification accuracy for further analysis.
To achieve an adequate geographical distribution of the slum settlements, we subsequently selected administrative units that usually were not close to each other.
We subsequently selected two clinical cutoff values for the TIMP2 × IGFBP7 combination from the Sapphire dataset, one (0.3) with high sensitivity (89%) (specificity = 50%) and one (2.0) with high specificity (95%) (sensitivity = 42%) for the development of AKI KDIGO stage 2 and 3 within 12 hours of study enrolment.
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We subsequently select the underlying subwords by ranking all the irredundant common subwords in the set I s 1, s 2 ^.
Best prediction factors for the infection were subsequently selected using forward – stepwise variable selection method.
Transfectants were subsequently selected in G418 for positive and Ganciclovir for negative selections, respectively.
We finally co-transduced the HEK/FGIP1 cell line with IDLV/FRT-hygro and IDLV/PGK-Flp and subsequently selected transduced cells for hygromycin B resistance.
We started by randomly selecting one swarm in each zone, then the nearest nine swarms were subsequently selected.
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