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Batch effects are the systematic non-biological differences between batches (groups) of samples in microarray experiments due to various causes such as differences in sample preparation and hybridization protocols. Previous work focused mainly on the development of methods for effective batch effects removal. However, their impact on cross-batch prediction(More)
We present a system that allows OpenMP programs to execute on a network of workstations with a variable number of nodes. The ability to adapt to a variable number of nodes allows a program to take advantage of additional nodes that become available after it starts execution, or to gracefully scale down when the number of available nodes is reduced. We(More)
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We p r e s e n t a system that allows task parallel OpenMP programs to execute on a network of workstations (NOW) with a variable number of nodes. Such adaptivity, generally called adaptive parallelism, is important i n a m ulti-user NOW e n vironment, enabling the system to expand the computation onto idle nodes or withdraw from otherwise occupied nodes.(More)
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