Name
Abstract | ||
|---|---|---|
The massive amounts of data generated by high-throughput experiments makes modern biomedical research a data-intensive discipline, shifting the research methodology from a hypothesis-based approach to a hypothesis-free one. A formal procedure should be defined to properly design a study, understand the outcomes and plan improvements for each task performed during the experiments. Such formal approach needs the identification of a high-level conceptual model of the knowledge discovery process occurring in genome-wide studies: this is what existing computational tools lack. Starting from an epistemological model of the discovery process proposed for diagnostic reasoning, we describe how the design and execution of modern genome-wide studies can be modelled using the same framework. We show the general validity of the model, how it can be instantiated to model typical scenarios of genome-wide studies, and how we use it to develop tools aimed at building semi-automated reasoning systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02976-9_61 | AIME '87 |
Keywords | Field | DocType |
existing computational tools lack,genome-wide studies,high-level conceptual model,genome-wide study,formal procedure,epistemological model,diagnostic reasoning,automated reasoning systems,hypothesis-based approach,formal approach,discovery process,modern genome-wide study,automated reasoning,conceptual model,research methodology,decision support system,high throughput | Automated reasoning,Data mining,Architecture,Conceptual model,Computer science,Decision support system,Model-based reasoning,Knowledge extraction,Reasoning system,Business process discovery | Conference |
Volume | ISSN | Citations |
5651 | 0302-9743 | 1 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Nuzzo | 1 | 61 | 6.15 |
| Alberto Riva | 2 | 43 | 2.40 |
| M Stefanelli | 3 | 761 | 114.93 |
| Riccardo Bellazzi | 4 | 1313 | 141.89 |