Sentence examples for cluster function and from inspiring English sources

Polypyrrole films containing different dopant ions were electrochemically synthesized and the interaction between polypyrrole and water was evaluated by means of sorption isotherm, cluster function and d.s.c.s.c

GO provides a controlled vocabulary for assessing cluster function and coherence.

All analyses were conducted using R version 2.5.1[ 24] The proportional hazard model was implemented using the function coxph, and the penalized spline fit was implemented using the pspline function[ 25] Plotted standard errors were calculated by a grouped jackknife estimate implemented using the cluster function, and all models employed weighting to account for the complex sampling design.

The programme has provided support for cluster functioning, and feedback indicates that the cluster approach has significantly improved coordination and information sharing at national and district levels.

Moreover, each text corpus was annotated using our proposed Slovak morphological classifier[13] based on a hidden Markov model (HMM) together with suffix-based word clustering function and restricted by manually morphologically annotated lexicon of words.

We therefore assumed that in these clusters, function and location of these proteins are conserved and they were hence used for further analyses.

Widespread constitutive and polycistronic transcription places considerable emphasis on post-transcriptional control since genes in the same transcriptional cluster function in unrelated pathways and are expressed at widely different levels [ 4].

A possible explanation for these discrepancies is that miR-17 92 miR-17 92ry significantlevelsresponse to vary, significantlyat growth and culture condinions influence basal miresponseession, and toerefore, cluster function in cultured ECs.

Family members belonging to the same cluster function as a domestic group and can be referred to as belonging to this cour (Zaka in Moré and Lou in Dioula).

Our semi-supervised consensus clustering algorithm (SSCC) includes a base clustering, consensus function, and final clustering.

The consensus clustering algorithms differ in chosen algorithms for basic clustering, consensus function and final clustering.