Sentence examples for amount of datasets and from inspiring English sources

Coincident with the largest amount of datasets and highest REGγ differential expression from colon cancers, the positive correlation between REGγ and Myc was validated specifically in HTC116-shN and -shR cells.

The "-omics" era has brought with it numerous challenges and hurdles, the most significant being the processing of the massive amount of datasets and the extraction of biological meaning from them [ 3].

Although we cite a fair amount of datasets, some of them have few samples per user (around 10).

Seizing these new opportunities is tempting: some researchers have been trapped by the sheer amount of datasets made available by leading data-driven companies, which are either directed towards the companies' own prosperity or representing rather small subsets (e.g. of users).

How to find the best biological interpretation of the massive amounts of complex datasets and to view these from the toxicological perspective is a challenge, even for the most highly skilled professionals, and clearly calls for the expertise of toxicologists trained in both classic and modern toxicology.

Therefore, additional analysis with a large amount of dataset with many pixels should be performed to test between dyslexic and healthy cases.

The good amount of dataset obtained was subjected to the PCA multivariate analysis to evaluate information about seasonal variation in hydro chemical quality of the study area (Dalton and Upchruch 1978).

A major challenge remains in adequately and reproducibly adapting analysis and biological interpretation efforts to the vast amounts of datasets generated.

Hadoop and MapReduce have been used in various applications to speed up the process of analyzing large amounts of datasets.

Currently, the limited amount of urban datasets that track and trend data on gender make it hard to develop infrastructure programmes that factor in women's needs.

Viewing systematic data as more important than completion times, Experiment 2 (n = 153 college students) sought to reduce the amount of invalid datasets in the fixed-alternatives task, and compare amounts of nonsystematic data with the titrating task.