Sentence examples for dataset analytical from inspiring English sources

Exact(1)

Prior to the pooled analyses, individual published results – using the same dataset, analytical procedures and adjusting variables as in the original study reports – were replicated and confirmed for all studies on receipt of their data (results not shown).

Similar(59)

The ideal practice would be that the trial investigators make the protocol, dataset, and analytical code publicly available.

On the enterprise side of things, however, Li believes big data is on the verge of going mainstream, where datasets and analytical tools will soon be available to everyone, igniting new waves of innovation that could disrupt major public companies from the platform all the way to the application layer.

PRO-MINE is presented here as a proof of concept for derived databases that combine curated datasets with analytical tools in a single resource.

However, I think there needs to be some acknowledgement and discussion of the relevance of different datasets and analytical approaches of biologists versus statisticians.

An important validation of our analysis was the recovery of signals of positive selection in two genes previously indicated as evolving adaptively through analysis of independent datasets and analytical approaches.

Inspired by previous attempts, this paper aims to establish the clustering approach as a practical guideline to explore student categories and characteristics, with the working example on a real dataset to illustrate analytical procedures and results.

The dataset consists of analytical results from a 3-yr survey conducted in the major river systems (Aliakmon, Axios, Gallikos, Loudias and Strymon) as well as streams, tributaries and ditches.

The key was obtained in exchange for the locked dataset and detailed analytical plan.

The analytical dataset used data on migration events and socio-demographic characteristics which were collected prior to the HIV test date.

Our conclusion from this initial comparison of three different normalization methods is that they all give very similar results, in terms of relative miRNA abundance, in a dataset with little analytical or biological variance within the control and experimental groups.

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