Object
~~|
~~+--
ParametersInterface
~~~~~~~|
~~~~~~~+--
Model
~~~~~~~~~~~~|
~~~~~~~~~~~~+--
UnitModel
~~~~~~~~~~~~~~~~~|
~~~~~~~~~~~~~~~~~+--
MultiArrayUnitModel
~~~~~~~~~~~~~~~~~~~~~~|
~~~~~~~~~~~~~~~~~~~~~~+--
ProbeLevelModel
~~~~~~~~~~~~~~~~~~~~~~~~~~~|
~~~~~~~~~~~~~~~~~~~~~~~~~~~+--
MbeiPlm
Directly known subclasses:
MbeiCnPlm, MbeiSnpPlm
public abstract static class MbeiPlm
extends ProbeLevelModel
This class represents the model-based expression indexes (MBEI)
multiplicative model in Li & Wong (2001).MbeiPlm(...)
ProbeLevelModel
.Methods inherited from ProbeLevelModel: calculateResidualSet, calculateWeights, fit, getAsteriskTags, getCalculateResidualsFunction, getChipEffectSet, getProbeAffinityFile, getResidualSet, getRootPath, getWeightsSet
Methods inherited from MultiArrayUnitModel: getListOfPriors, setListOfPriors, validate
Methods inherited from UnitModel: findUnitsTodo, getAsteriskTags, getFitSingleCellUnitFunction, getParameters
Methods inherited from Model: as.character, fit, getAlias, getAsteriskTags, getDataSet, getFullName, getName, getPath, getRootPath, getTags, setAlias, setTags
Methods inherited from ParametersInterface: getParameterSets, getParameters, getParametersAsString
Methods inherited from Object: $, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, save, asThis
$$y_{ik} = \theta_i \phi_k + \varepsilon_{ik}$$
where $\theta_i$ are the chip effects for arrays $i=1,...,I$, and $\phi_k$ are the probe affinities for probes $k=1,...,K$. The $\varepsilon_{ik}$ are zero-mean noise with equal variance. To make to parameters identifiable, the constraint $\prod_k \phi_k = 1$ is added.
fit.li.wong
is used.