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| Source file | Conditionals | Statements | Methods | TOTAL | |||||||||||||||
| AffymetrixProbeNameFilter.java | 0% | 0% | 0% | 0% |
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package baseCode.dataFilter;
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import java.util.Vector;
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import baseCode.dataStructure.matrix.NamedMatrix;
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/**
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* Remove probes that have names meeting certain rules indicating they may have low reliability. This is targeted at
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* cases like "AFFX", "_st", "_f_at" and so forth.
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* <p>
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* Copyright (c) 2004
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* </p>
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* <p>
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* Institution:: Columbia University
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* </p>
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*
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* @author Paul Pavlidis
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* @version $Id: AffymetrixProbeNameFilter.java,v 1.12 2004/08/17 21:17:40 pavlidis Exp $
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*/
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public class AffymetrixProbeNameFilter extends AbstractFilter implements Filter { |
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private boolean skip_ST = false; |
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private boolean skip_AFFX = false; |
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private boolean skip_F = false; |
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private boolean skip_X = false; |
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private boolean skip_G = false; |
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/**
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* Filter probes that contain the '_st' (sense strand) tag
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*/
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public static final int ST = 1; |
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/**
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* Filter probes that have the AFFX prefix.
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*/
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public static final int AFFX = 2; |
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/**
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* Filter probes that have the "_f_at" (family) tag.
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*/
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public static final int F = 3; |
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/**
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* Filter probes that have the "_x_at" tag.
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*/
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public static final int X = 4; |
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/**
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* Filter probes that have the "_g_at" (group) tag.
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*/
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public static final int G = 5; |
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/**
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* @param criteria int[] of constants indicating the criteria to use.
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*/
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public AffymetrixProbeNameFilter( int[] criteria ) { |
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this.setCriteria( criteria );
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} |
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/**
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* Filter probes with all criteria switched on.
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*
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*/
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public AffymetrixProbeNameFilter( ) {
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this.setCriteria( new int[] {1,2,3,4,5} ); |
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} |
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private void setCriteria( int[] criteria ) { |
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for ( int i = 0; i < criteria.length; i++ ) { |
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switch ( criteria[i] ) {
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case ST: {
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skip_ST = true;
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} |
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case AFFX: {
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skip_AFFX = true;
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} |
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case F: {
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skip_F = true;
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} |
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case X: {
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skip_X = true;
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} |
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case G: {
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skip_G = true;
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} |
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default: {
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break;
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} |
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} |
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} |
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} |
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public NamedMatrix filter( NamedMatrix data ) {
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Vector MTemp = new Vector();
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Vector rowNames = new Vector();
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int numRows = data.rows();
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int numCols = data.columns();
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int kept = 0;
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for ( int i = 0; i < numRows; i++ ) { |
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String name = data.getRowName( i ); |
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// apply the rules.
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if ( skip_ST && name.endsWith( "_st" ) ) { // 'st' means sense strand. |
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continue;
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} |
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if ( skip_AFFX && name.startsWith( "AFFX" ) ) { |
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continue;
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} |
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if ( skip_F && name.endsWith( "_f_at" ) ) { // gene family. We don't |
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// like.
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continue;
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} |
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if ( skip_X && name.endsWith( "_x_at" ) ) { |
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continue;
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} |
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if ( skip_G && name.endsWith( "_g_at" ) ) { |
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continue;
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} |
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MTemp.add( data.getRowObj( i ) ); |
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rowNames.add( name ); |
| 126 | 0 |
kept++; |
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} |
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NamedMatrix returnval = getOutputMatrix( data, MTemp.size(), numCols ); |
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for ( int i = 0; i < MTemp.size(); i++ ) { |
| 132 | 0 |
for ( int j = 0; j < numCols; j++ ) { |
| 133 | 0 |
returnval.set( i, j, ( ( Object[] ) MTemp.get( i ) )[j] ); |
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} |
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} |
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returnval.setColumnNames( data.getColNames() ); |
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returnval.setRowNames( rowNames ); |
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log.info( "There are " + kept + " rows left after filtering." ); |
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return ( returnval );
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} |
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} |
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