% = MSBATCHPROCESSING(REPOSITORY,FILES) Preprocesses the % MSBATCHPROCESSING Example function for BIODISTCOMPDEMO Change both accordingly to your network configuration.įunction = msbatchprocessing(repository,files) Two strings are defined: the path from the local computer to the repository and the path required by the cluster computers to access the same directory.
#Cancer dataset in matlab 2012 full#
This is the preferred method for sharing data, as it minimizes network traffic.įirst, get the name and full path to the data repository. If the workers all have access to the same drives on the network, they can access needed data that reside on these shared resources.
Ideally, you should place the data sets in a network drive. This example assumes that you have downloaded and uncompressed the data sets into your repository. For a detailed description of this data set, see and. In particular, the example uses the high-resolution ovarian cancer data set that was generated using the WCX2 protein array. The data in this example are from the FDA-NCI Clinical Proteomics Program Databank. The signals to preprocess come from protein surface-enhanced laser desorption/ionization-time of flight (SELDI-TOF) mass spectra. Batch processing adapts to the single-program multiple-data (SPMD) parallel computing model, and it is best suited for Parallel Computing Toolbox™ and MATLAB® Parallel Server™. You can achieve this sequentially, or in parallel using either a multicore computer or a cluster of computers. This example shows the required steps to set up a batch operation over a group of mass spectra contained in one or more directories.
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