}
length = _refSeq.getEnd() - _refSeq.getStart() + 1;
}
+
@SuppressWarnings("unchecked")
public PAEContactMatrix(SequenceI _refSeq, Map<String, Object> pae_obj)
{
setRefSeq(_refSeq);
// convert the lists to primitive arrays and store
-
+
if (!MapUtils.containsAKey(pae_obj, "predicted_aligned_error", "pae"))
{
parse_version_1_pAE(pae_obj);
parse_version_2_pAE(pae_obj);
}
}
+
/**
* construct a sequence associated PAE matrix directly from a float array
+ *
* @param _refSeq
* @param matrix
*/
public PAEContactMatrix(SequenceI _refSeq, float[][] matrix)
{
setRefSeq(_refSeq);
- maxcol=0;
- for (float[] row:matrix)
+ maxcol = 0;
+ for (float[] row : matrix)
{
- if (row.length>maxcol)
+ if (row.length > maxcol)
{
- maxcol=row.length;
+ maxcol = row.length;
}
- maxscore=row[0];
- for (float f:row)
+ maxscore = row[0];
+ for (float f : row)
{
- if (maxscore<f) {
- maxscore=f;
+ if (maxscore < f)
+ {
+ maxscore = f;
}
}
}
- maxrow=matrix.length;
+ maxrow = matrix.length;
elements = matrix;
-
+
}
/**
maxscore = ((Double) MapUtils.getFirst(pae_obj,
"max_predicted_aligned_error", "max_pae")).floatValue();
List<List<Long>> scoreRows = ((List<List<Long>>) MapUtils
- .getFirst(pae_obj, "predicted_aligned_error", "pae"))
- ;
+ .getFirst(pae_obj, "predicted_aligned_error", "pae"));
elements = new float[scoreRows.size()][scoreRows.size()];
int row = 0, col = 0;
- for (List<Long> scoreRow:scoreRows)
+ for (List<Long> scoreRow : scoreRows)
{
Iterator<Long> scores = scoreRow.iterator();
while (scores.hasNext())
if (d instanceof Double)
elements[row][col++] = ((Double) d).longValue();
else
- elements[row][col++] = (float) ((Long)d).longValue();
+ elements[row][col++] = (float) ((Long) d).longValue();
}
row++;
col = 0;
@Override
public int getContactHeight()
{
- return maxcol-1;
+ return maxcol - 1;
}
@Override
@Override
public String getAnnotLabel()
{
- return "pAE Matrix";
+ StringBuilder label = new StringBuilder("PAE Matrix");
+ if (this.getReferenceSeq() != null)
+ {
+ label.append(":").append(this.getReferenceSeq().getDisplayId(false));
+ }
+ return label.toString();
}
- public static final String PAEMATRIX="PAE_MATRIX";
+ public static final String PAEMATRIX = "PAE_MATRIX";
+
@Override
public String getType()
{
return PAEMATRIX;
}
+
@Override
public int getWidth()
{
return length;
}
+
@Override
public int getHeight()
{
{
return newick;
}
+ boolean abs;
+ double thresh;
+ String treeType=null;
public void makeGroups(float thresh,boolean abs)
{
AverageDistanceEngine clusterer = new AverageDistanceEngine(null, null, this);
double height = clusterer.findHeight(clusterer.getTopNode());
newick = new jalview.io.NewickFile(clusterer.getTopNode(),false,true).print();
-
+ treeType = "UPGMA";
Console.trace("Newick string\n"+newick);
List<BinaryNode> nodegroups;
nodegroups = new ArrayList<BinaryNode>();
nodegroups.add(clusterer.getTopNode());
}
-
+ this.abs=abs;
+ this.thresh=thresh;
groups = new ArrayList<>();
for (BinaryNode root:nodegroups)
{
}
return ContactMatrixI.super.getGroupsFor(column);
}
+
+ public void restoreGroups(List<BitSet> newgroups, String treeMethod,
+ String tree, double thresh2)
+ {
+ treeType=treeMethod;
+ groups = newgroups;
+ thresh=thresh2;
+ newick =tree;
+
+ }
+ @Override
+ public boolean hasCutHeight() {
+ return groups!=null && thresh!=0;
+ }
+ @Override
+ public double getCutHeight()
+ {
+ return thresh;
+ }
+ @Override
+ public String getTreeMethod()
+ {
+ return treeType;
+ }
}