Sentence examples for can be comparative with from inspiring English sources

Exact(1)

Previously, it was observed that the accuracy of SitePrediction can be comparative with PoPS, when the same training and testing data sets were provided [21].

Similar(59)

Principles of desert can be comparative or noncomparative.

Their nucleuses are comparative with around normal hepatocyte nucleus.

This approach can also be comparative.

Healthcare for all can be implemented with comparative ease, and it would be a shame to delay its achievement until such time as it can be combined with the more complex and difficult objective of eliminating all inequality.

Preoccupation with the issue has retarded progress in the field by diverting research away from empirical questions, many of which can be addressed with comparative data.

Also, the process of crustal formation and hydrothermal circulation, as well as the origin of marine magnetic anomalies, can be studied with comparative clarity.

Even if a detailed LCA modeling of an individual car is not available for all its technical parts, a simplified life cycle assessment can be performed with comparative calculations based on LCA models published in detail: As an example, lifetime carbon footprints were estimated here according to the conversion of a used Smart in the laboratory of the authors (Figure 2).

One is the time that it takes to make the large number of judgements and the number of judges required to reach the high levels of reliability that can be achieved with comparative judgement (Bramley et al., 1998; Heldsinger & Humphry, 2013; Jones & Alcock, 2014).

Genetic variants can be identified with comparative FGF in which FGF is conducted with both a test genome (i.e. from an individual with a disease or genetic trait of interest) and normal genomic DNA, using a series of 'splice-signal' FR primers with varying sequences, and the resultant polymerase chain reaction (PCR -amplified fragments from each are disPCR -amplified side.

Simulation results indicate that the mechanisms of gene retentions (nonfuncitonalization, neofunctionalization, and subfunctionalization) produce distinct likelihood functions, which can be used with comparative genomic data to quantitatively distinguish those mechanisms.

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