Sentence examples for stages of data discovery from inspiring English sources

We describe a case study within the field of Heliophysics and provide a comparison of the evolutionary stages of data discovery, from manual to semantically enable.

The IEEE article documents a data science benefits realization process composed of four main stages, i.e. (1) modelling the business, (2) data discovery, (3) operationalizing insight, and (4) cultivation of knowledge.

For instance: Tsai et al. [71] have provided a comprehensive review on studies that attempt to develop new schemes capable of handling big data during the input, analysis, and output stages of knowledge discovery.

We see a general cytotoxicity model as crucial in early stages of drug discovery when typically chemical series are pursued for which little cytotoxicity data is available and therefore no opportunity exists to build a more accurate series-specific model.

We propose to optimize the assignment edge weights for optimal VS performance on a data set of known ligands and decoys, which is usually available even in the early stages of drug discovery.

Opportunities to apply ML occur in all stages of drug discovery.

Predictive models can be used in many stages of the discovery process.

Proteomic approaches have been applied at all stages of biomarker discovery workflow.

In later stages of drug discovery, a lead compound is optimized for desired biophysical properties.

Table 1 summarizes a group of aptamers that are in various stages of drug discovery.

Chief Data Scientist of Io-Tahoe, Leader in smart data discovery with advanced machine learning algorithms.