This was achieved by harnessing the power of mining large scale datasets from OMIM and other databases.
Applying big data approaches, namely the creation of large scale datasets from existing resources, as well as data mining methods (i.e. those related to machine learning), to test hypotheses related to epidemiologic, multilevel conceptual models will likely have implications for improving understanding of disease etiology and prognosis.
We employed a large scale dataset of protein families extracted from a well curated Conserved Domain Database (CDD) [35] to study the evolutionary, structural and functional aspects of coevolved residues.
Using a large-scale dataset from LinkedIn, Netzer and his co-author are working to identify job seekers by observing the ways in which they utilize the LinkedIn website.
We exemplify the methodology on a large-scale dataset from a leading U.S. energy utility, and obtain segments of customers whose likelihood of enrollment is more than twice larger than that of the average population, and that are described by a small number of simple, intuitive rules.
However, most of the related studies mainly focus on learning features and representations from very large scale dataset relying on deep network architecture, which is doomed to fail with limited training samples due to its high complexity.
The contract states: "The PhD student will gather large-scale datasets from a variety of different mass crowd events, such as music festivals, sporting events, etc".
The approach utilizes our basic understanding of the physical processes involved in volcanic arc formation to find intensive variables, such as specific heat and density, which can be used to quantitatively link and compare large-scale datasets from different disciplines.
Fu et al. [3] indicated that the main challenge for future music information retrieval systems is to be able to train the music classification systems for large-scale datasets from few labeled data.
We evaluate our approach on large-scale datasets from several microarray experiments and on a clustered genome-wide genetic interaction network using different biological knowledge bases.
Due to the availability of more and more large-scale datasets from modern pyro-sequencing techniques, high-throughput analysis methods for thousands of RNAs are needed.
