anchor.diff:                              out.println("<td class='" + style + "' bgcolor=#FFFF99><nobr><font>");
                           } else if (util.getOddsRatio() > 100.0) {
                               out.println("<td class='" + style + "' bgcolor=#FF9933><nobr><font>");
  -                        } else {
  -                            out.println("<td class='" + style + "' bgcolor=white><nobr><font>");
                           }
  -                        //outputFormattedDouble (out, util.getOddsRatio());
  +                        // outputFormattedDouble (out, util.getOddsRatio());
  +                        // out.println (" ");
                           outputFormattedDouble (out, util.getCumulativeP());
                           out.println ("</nobr></font></td>");
                           testMap.add(key);
  
positive.code:         if (Double.isInfinite(value)) {
              out.println("INF");
          } else if (Double.isNaN(value)) {
              out.println("0");
          } else {
              out.println(decimalFormat.format(value));
          }
  
negative.code:         OddsRatio util = new OddsRatio(dataSummary, gene0.getGene(), gene1.getGene());
          out.println("<h4>Odds Ratio:  ");
          outputFormattedDouble (out, util.getOddsRatio());
  
          if (Double.isNaN(util.getOddsRatio())) {
              out.println(" [zero events recorded for one or both genes");
          } else if (range0.containsDouble(util.getOddsRatio())) {
              out.println(" [strong tendency toward mutual exclusivity]");
          } else if (range1.containsDouble(util.getOddsRatio())) {
              out.println(" [some tendency toward mutual exclusivity]");
          } else if (range2.containsDouble(util.getOddsRatio())) {
              out.println(" [no association]");
          } else if (range3.containsDouble(util.getOddsRatio())) {
              out.println(" [tendency toward co-occurrence]");
          } else if (util.getOddsRatio() > 100.0) {
              out.println(" [strong tendendency towards co-occurrence]");
          }
  
          out.println ("</h4><br>95% Confidence Interval:  ");
          outputFormattedDouble (out, util.getLowerConfidenceInterval());
          out.println ("-");
          outputFormattedDouble (out, util.getUpperConfidenceInterval());
          out.println ("<br> p-value:  " + decimalFormat.format(util.getCumulativeP())
                  + " [Fisher's Exact Test]</P>");
  
          //out.println("<P>R Code:  <br>" + util.getRCommand() + "</P>");
      } else if (geneWithScoreList.size() > 1) {
          //  Create Header
  