code: def writeExpression(self, rnaQuantificationId, quantfilename):
          
          isNormalized = self._isNormalized
          units = self._units
          with open(quantfilename, "r") as quantFile:
              quantificationReader = csv.reader(quantFile, delimiter=b"\t")
              header = next(quantificationReader)
              expressionLevelColNum = self.setColNum(
                                          header, self._expressionLevelCol)
              nameColNum = self.setColNum(header, self._nameCol)
              countColNum = self.setColNum(header, self._countCol, -1)
              confColLowNum = self.setColNum(header, self._confColLow, -1)
              confColHiNum = self.setColNum(header, self._confColHi, -1)
              expressionId = 0
              for expression in quantificationReader:
                  expressionLevel = expression[expressionLevelColNum]
                  name = expression[nameColNum]
                  rawCount = 0.0
                  if countColNum != -1:
                      rawCount = expression[countColNum]
                  confidenceLow = 0.0
                  confidenceHi = 0.0
                  score = 0.0
                  if confColLowNum != -1 and confColHiNum != -1:
                      confidenceLow = float(expression[confColLowNum])
                      confidenceHi = float(expression[confColHiNum])
                      score = (confidenceLow + confidenceHi)/2
  
                  datafields = (expressionId, rnaQuantificationId, name,
                                expressionLevel, isNormalized, rawCount, score,
                                units, confidenceLow, confidenceHi)
                  self._db.addExpression(datafields)
                  expressionId += 1
              self._db.batchAddExpression()
docs: Reads the quantification results file and adds entries to the
          specified database.