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Batch conversion can be performed between results obtained from different platforms when the data are generated by the Percellome method.
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This experimental result has shown that for a simple adiabatic system with two reactors and two heat interchangers, conversion can be improved significantly with respect to that of a single adiabatic batch reactor.
Another problem is that conversion can be costly.
With HVDC, conversions can be reduced.
This batch-conversion strategy can be extended to data conversion between different versions and different platforms, as long as the data are generated in copy numbers "per cell".
Many laboratories buy large batches of serum (held in store by the supplier) to avoid batch variability; batches can be kept at −80 °C without noticeable loss of function.
Computing can be done batch by batch or it can be done by individual transaction.
Batch effects can be a problem with RNAseq data [ 26].
In addition, batch differences can be observed [ 50].
Once validated for the required platform, the same batch then can be purchased in bulk so to prevent batch-to-batch variations during the entire project.
Batch files can be very powerful.
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