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We shall first describe how the different large scale datasets are analyzed and combined, using different computational tools in order to infer initial alternatives for the network assembly of the pathway.
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75 Serial analysis of gene expression has been developed for biological variability assessment, in which larger scale datasets are used so that an additional dispersion parameter can be estimated based on an extended Poisson distribution, allowing extensive molecular characterization capability.
Large-scale datasets are needed to provide further evidence for the use of CEIP in clinical practice.
Hand labeling large-scale datasets is tedious and time consuming; thus a more efficient labeling method would be beneficial.
However, access to truly large-scale datasets is a privilege that has been traditionally reserved for machine learning researchers and data scientists working at large companies – and out of reach for most academic researchers".
The integration and biological interpretation of large-scale datasets is currently one of the main challenges in bioinformatics research.
Data grids, characterized by their goal to manage large-scale dataset, are promising platforms to support sharing of geographically dispersed learning content.
In a distributed storage system, a large-scale dataset is usually divided into multiple small data units (known as data shards) by means of horizontal partitioning.
With the growing trend for machine-learning approaches, a large-scale dataset is essential to enable efficient training of the model, and it is also required for statistically reliable performance evaluation.
The relational structure of large-scale dataset is represented with graph, in which data elements correspond to the vertices, the relationship between data elements is represented by the edge, and the strength of relationship is reflected in the edge weight.
Despite the apparent small overlap in large scale datasets, the overlap is significant (p < 0.001, hypergeometric distribution) and indicates that our tissue biopsies are representative of the literature and can be used for further analysis.
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