Sentence examples for sequentially to select from inspiring English sources

The final features are selected sequentially, to select the m ‐ th feature after obtaining the m − 1 features S m − 1, by solving the following optimization problem [38]: underset{f_jin F-{S}_{m-1}}{ max}left[Ileft({f}_j cright -frac{1}{m-1}{displaystyle sum_{f_iin {S}_j cright -frac{1}{m-1}{displaystyle] (17).

We infected these cells with the ERM retrovirus to generate a library of gene-trapped cells, and transwell motility assays were performed thrice sequentially to select for cells with enhanced migration.

Others report from one to three sequentially applied criteria to select lists of differentially expressed genes, which varied in nature and in statistical support.

[Ca2+]c and Δψm were monitored in single cells using excitation light provided by a Xenon arc lamp, the beam passing through a monochromator (Cairn research, Kent, UK) to select wavelengths sequentially at 340, 380 and 490 nm (Cairn Research, Kent, UK) with bandwidths of 10 nm.

In the inducible LexA system it is advisable to select first for transformants, (sequentially induced most of the time), and in a second step to induce the expression of the cDNA library insert.

The point-and-click interface was then used to select multiple SDMs, which were then brought up sequentially to different sites of the membrane.

To select the others clusters the sampling interval was added sequentially to the random number till all thirty clusters were selected.

It proved possible to select a subset of these configurations in order to sequentially maximize the cation density along the permeation pathway.

Individualized designs are sequentially generated for each person separately, using the answers from previous choice sets to select the next best set in a survey.

To better understand drift, we used anti-hemagglutinin monoclonal Abs (mAbs) to sequentially select IAV escape mutants.

A pool-based ASVM is employed for metamodel construction with the minimum number of training samples, for which a learning function is proposed to sequentially select informative training samples.