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<div class="title">Analysis</div> </div>
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<p>High-level analysis like PeakPicking, Quantitation, Identification, MapAlginment.
<a href="#details">More...</a></p>
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Modules</h2></td></tr>
<tr class="memitem:group__SignalProcessing"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__SignalProcessing.html">SignalProcessing</a></td></tr>
<tr class="memdesc:group__SignalProcessing"><td class="mdescLeft"> </td><td class="mdescRight">Signal processing classes (noise estimation, noise filters, basline filters) <br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:group__PeakPicking"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__PeakPicking.html">PeakPicking</a></td></tr>
<tr class="memdesc:group__PeakPicking"><td class="mdescLeft"> </td><td class="mdescRight">Classes for the transformation of raw ms data into peak data. <br/></td></tr>
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<tr class="memitem:group__FeatureFinder"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FeatureFinder.html">FeatureFinder</a></td></tr>
<tr class="memdesc:group__FeatureFinder"><td class="mdescLeft"> </td><td class="mdescRight">The feature detection algorithms. <br/></td></tr>
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<tr class="memitem:group__MapAlignment"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__MapAlignment.html">MapAlignment</a></td></tr>
<tr class="memdesc:group__MapAlignment"><td class="mdescLeft"> </td><td class="mdescRight">The map alignment algorithms. <br/></td></tr>
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<tr class="memitem:group__FeatureGrouping"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FeatureGrouping.html">FeatureGrouping</a></td></tr>
<tr class="memdesc:group__FeatureGrouping"><td class="mdescLeft"> </td><td class="mdescRight">The feature grouping. <br/></td></tr>
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<tr class="memitem:group__Analysis__ID"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Analysis__ID.html">Identification</a></td></tr>
<tr class="memdesc:group__Analysis__ID"><td class="mdescLeft"> </td><td class="mdescRight">Protein and peptide identitfication classes. <br/></td></tr>
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<tr class="memitem:group__SpectraClustering"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="group__SpectraClustering.html">Clustering</a></td></tr>
<tr class="memdesc:group__SpectraClustering"><td class="mdescLeft"> </td><td class="mdescRight">This class contains SpectraClustering classes These classes are components for clustering all kinds of data for which a distance relation, normalizable in the range of [0,1], is available. Mainly this will be data for which there is a corresponding CompareFunctor given (e.g. PeakSpectrum) that is yielding the similarity normalized in the range of [0,1] of such two elements, so it can easily converted to the needed distances. <br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1FeatureDeconvolution.html">FeatureDeconvolution</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">An algorithm to decharge features (i.e. as found by <a class="el" href="classOpenMS_1_1FeatureFinder.html" title="The main feature finder class. ">FeatureFinder</a>). <a href="classOpenMS_1_1FeatureDeconvolution.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1PeakIntensityPredictor.html">PeakIntensityPredictor</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Predict peak heights of peptides based on Local Linear Map model. <a href="classOpenMS_1_1PeakIntensityPredictor.html#details">More...</a><br/></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>High-level analysis like PeakPicking, Quantitation, Identification, MapAlginment. </p>
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<TD><font color="#c0c0c0">OpenMS / TOPP release 1.11.1</font></TD>
<TD align="right"><font color="#c0c0c0">Documentation generated on Thu Nov 14 2013 11:19:25 using doxygen 1.8.5</font></TD>
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