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java.lang.Objectorg.metaqtl.MetaQtlResult
public class MetaQtlResult
A MetaQtlResult
is used to store the
results of a QTL meta analysis which has been performed
for a given trait group on a given chromosome.
Field Summary | |
---|---|
EMResult[] |
clusterings
The meta qtl clusterings. |
int |
nmqc
The number of meta qtl clusterings. |
int |
nqtl
The number of QTL |
int[] |
qtlIdx
The indices of QTL which are implied in the analysis. |
double[] |
sd
The QTL position standard deviations. |
java.lang.String |
trait
The name of the trait. |
Tree |
tree
The qtl tree |
double[] |
x
The QTL positions. |
Constructor Summary | |
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MetaQtlResult()
|
|
MetaQtlResult(java.lang.String trait,
int qtlNumber)
|
Method Summary | |
---|---|
EMResult |
getBestClustering(int criterion)
This methods returns the best models for each criterion defined to select the optimal number of clusters per trait. |
EMResult |
getClustering(int k)
Returns the Qtl clustering result with k
clusters. |
double[] |
getCritDelta(java.lang.String criterion,
int[] K)
|
java.util.Iterator |
getCriteria()
|
double[] |
getCritValues(java.lang.String criterion,
int[] K)
|
double[] |
getCritWeights(java.lang.String criterion,
int[] K)
|
int[] |
getKValues()
|
Qtl[] |
getMetaQtl(int k)
|
Tree |
getQtlTree()
|
java.lang.String |
getTraitName()
Returns the name of the trait cluster for this result. |
double[] |
getUSD(EMResult best,
int kmin,
int kmax,
java.lang.String criterion)
|
void |
setClusterings(EMResult[] results)
|
void |
setClusterings(java.util.List list)
|
void |
setQtlIdx(int[] qtlIdx)
Set the indices of the Qtl which are implied in this result. |
void |
setSD(java.lang.Double[] sd)
Set the standard deviations of the Qtl. |
void |
setTree(Tree tree)
|
void |
setX(java.lang.Double[] xx)
Set the observed positions of the Qtl. |
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
---|
public java.lang.String trait
public int nqtl
public int nmqc
public int[] qtlIdx
public double[] x
public double[] sd
public EMResult[] clusterings
public Tree tree
Constructor Detail |
---|
public MetaQtlResult()
public MetaQtlResult(java.lang.String trait, int qtlNumber)
qtlNumber
- Method Detail |
---|
public EMResult getClustering(int k)
k
clusters.
k
-
public void setClusterings(java.util.List list)
emResultList
- public void setClusterings(EMResult[] results)
emResults
- public void setQtlIdx(int[] qtlIdx)
qtlIdx
- the indices of the Qtl.public void setX(java.lang.Double[] xx)
xx
- public void setSD(java.lang.Double[] sd)
xx
- public void setTree(Tree tree)
tree
- public EMResult getBestClustering(int criterion)
public java.lang.String getTraitName()
public int[] getKValues()
public java.util.Iterator getCriteria()
public double[] getCritValues(java.lang.String criterion, int[] K)
criterion
-
public double[] getCritDelta(java.lang.String criterion, int[] K)
criterion
-
public double[] getCritWeights(java.lang.String criterion, int[] K)
criterion
-
public double[] getUSD(EMResult best, int kmin, int kmax, java.lang.String criterion)
best
-
public Tree getQtlTree()
public Qtl[] getMetaQtl(int k)
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