StringBuffer details = new StringBuffer();
/**
- * Creates a new PCA object.
- * By default, uses blosum62 matrix to generate sequence similarity matrices
+ * Creates a new PCA object. By default, uses blosum62 matrix to generate
+ * sequence similarity matrices
+ *
* @param s
* Set of amino acid sequences to perform PCA on
*/
{
this(s, false);
}
-
+
/**
- * Creates a new PCA object.
- * By default, uses blosum62 matrix to generate sequence similarity matrices
+ * Creates a new PCA object. By default, uses blosum62 matrix to generate
+ * sequence similarity matrices
+ *
* @param s
* Set of sequences to perform PCA on
- * @param nucleotides if true, uses standard DNA/RNA matrix for sequence similarity calculation.
+ * @param nucleotides
+ * if true, uses standard DNA/RNA matrix for sequence similarity
+ * calculation.
*/
public PCA(String[] s, boolean nucleotides)
{
while ((ii < s.length) && (s[ii] != null))
{
- bs[ii] = new BinarySequence(s[ii],nucleotides);
+ bs[ii] = new BinarySequence(s[ii], nucleotides);
bs[ii].encode();
ii++;
}
BinarySequence[] bs2 = new BinarySequence[s.length];
ii = 0;
- String sm=nucleotides ? "DNA" : "BLOSUM62";
- ScoreMatrix smtrx=ResidueProperties.getScoreMatrix(sm);
- details.append("PCA calculation using "+sm+" sequence similarity matrix\n========\n\n");
-
+ String sm = nucleotides ? "DNA" : "BLOSUM62";
+ ScoreMatrix smtrx = ResidueProperties.getScoreMatrix(sm);
+ details.append("PCA calculation using " + sm
+ + " sequence similarity matrix\n========\n\n");
while ((ii < s.length) && (s[ii] != null))
{
bs2[ii] = new BinarySequence(s[ii], nucleotides);
*/
public void run()
{
+ details.append("PCA Calculation Mode is "
+ + (jvCalcMode ? "Jalview variant" : "Original SeqSpace") + "\n");
Matrix mt = m.transpose();
details.append(" --- OrigT * Orig ---- \n");
- // eigenvector = mt.preMultiply(m); // standard seqspace comparison matrix
- eigenvector = mt.preMultiply(m2); // jalview variation on seqsmace method
+ if (!jvCalcMode)
+ {
+ eigenvector = mt.preMultiply(m); // standard seqspace comparison matrix
+ }
+ else
+ {
+ eigenvector = mt.preMultiply(m2); // jalview variation on seqsmace method
+ }
PrintStream ps = new PrintStream(System.out)
{
* ps.print(","+component(seq, ev)); } ps.println(); }
*/
}
+
+ boolean jvCalcMode = true;
+
+ public void setJvCalcMode(boolean calcMode)
+ {
+ this.jvCalcMode = calcMode;
+ }
}