Sentence examples for computational assessment of from inspiring English sources

Here, we describe an objective, systematic, multifaceted computational assessment of biological and chemical space that can be applied to any human gene set to prioritize targets for therapeutic exploration.

Computational aesthetics, a subfield of artificial intelligence (AI) concerned with the computational assessment of beauty in domains of human creative expression such as music, visual art, poetry, and chess problems.

Afterwards, computational assessment of mechanical response of NiTi tubes under axial edge load is carried out and comparisons with available experimental data are made.

The paper deals with the development and computational assessment of three- and two-node beam finite elements based on the Refined Zigzag Theory (RZT) for the analysis of multilayered composite and sandwich beams.

To answer these questions, a systematic computational assessment of Escherichia coli's potential ability to produce different chemicals was performed using an integrated metabolic model that included native E.coli reactions and known heterologous reactions.

As is typical of complex historical structures, a realistic quantitative computational assessment of the bridge response should address multi-physics, multi-scale, time-dependent and three-dimensional aspects of the problem.

Computational assessments of the air-side heat transfer and pressure drop characteristics for a variety of inlet air flow distributions and geometrical parameters of staggered plate fin-and-tube heat exchangers were undertaken on heat exchangers with different longitudinal tube pitches, transversal tube pitches, and fin pitches.

Mathematical and computational assessments of topology and modelling of network behaviours cannot be carried out until we can absolutely sample the population of ssRNAs in a single cell and with certainty identify their source and target lRNAs.

This strategy ignores computational assessments of pathogenicity, although this situation could change if these tools became more predictive.

Most of this type of data is derived from computational assessments of DNA features within the genomic regulatory regions such the existence of transcription factor (TF) binding motifs and CpG islands.

We present a framework for the computational assessment and comparison of large-eddy simulation methods.