Interface TwoChannelMissingValues
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- All Known Implementing Classes:
TwoChannelMissingValuesImpl
public interface TwoChannelMissingValues
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Field Summary
Fields Modifier and Type Field Description static double
DEFAULT_SIGNAL_TO_NOISE_THRESHOLD
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description Collection<RawExpressionDataVector>
computeMissingValues(ExpressionExperiment ee)
Collection<RawExpressionDataVector>
computeMissingValues(ExpressionExperiment ee, double signalToNoiseThreshold, Collection<Double> extraMissingValueIndicators)
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Field Detail
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DEFAULT_SIGNAL_TO_NOISE_THRESHOLD
static final double DEFAULT_SIGNAL_TO_NOISE_THRESHOLD
- See Also:
- Constant Field Values
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Method Detail
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computeMissingValues
Collection<RawExpressionDataVector> computeMissingValues(ExpressionExperiment ee)
- Parameters:
ee
- The expression experiment to analyze. The quantitation types to use are selected automatically. If you want more control use other computeMissingValues methods.- Returns:
- collection of raw expression data vectors
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computeMissingValues
Collection<RawExpressionDataVector> computeMissingValues(ExpressionExperiment ee, double signalToNoiseThreshold, Collection<Double> extraMissingValueIndicators)
- Parameters:
ee
- The expression experiment to analyze. The quantitation types to use are selected automatically.signalToNoiseThreshold
- A value such as 1.5 or 2.0; only spots for which at least ONE of the channel signal is more than signalToNoiseThreshold*background (and the preferred data are not missing) will be considered present.extraMissingValueIndicators
- Values that should be considered missing. For example, some data sets use '0'. This can be null or empty and it will be ignored.- Returns:
- DesignElementDataVectors corresponding to a new PRESENTCALL quantitation type for the experiment.
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