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OpenMS
2.6.0
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44 #include <boost/unordered_map.hpp>
45 #include <boost/heap/fibonacci_heap.hpp>
49 #include <unordered_set>
110 typedef OpenMSBoost::unordered_map<
111 std::pair<OpenMS::GridFeature*, OpenMS::GridFeature*>,
115 typedef OpenMSBoost::unordered_map<
119 typedef boost::heap::fibonacci_heap<QTCluster>
Heap;
152 void setParameters_(
double max_intensity,
double max_mz);
165 bool makeConsensusFeature_(
Heap& cluster_heads,
169 const std::vector<Heap::handle_type>& handles);
180 void computeClustering_(
const Grid& grid,
182 std::vector<QTCluster::BulkData>& cluster_data,
183 std::vector<Heap::handle_type>& handles,
192 void removeFromElementMapping_(
const QTCluster& cluster,
204 void createConsensusFeature_(
ConsensusFeature& feature,
const double quality,
229 const std::vector<Heap::handle_type>& handles,
233 template <
typename MapType>
234 void run_(
const std::vector<MapType>& input_maps,
ConsensusMap& result_map);
237 template <
typename MapType>
238 void run_internal_(
const std::vector<MapType>& input_maps,
247 void addClusterElements_(
const Grid& grid,
QTCluster& cluster);
278 void run(
const std::vector<ConsensusMap>& input_maps,
288 void run(
const std::vector<FeatureMap>& input_maps,
OpenMSBoost::unordered_map< std::pair< OpenMS::GridFeature *, OpenMS::GridFeature * >, double > PairDistances
Distances between pairs of grid features.
Definition: QTClusterFinder.h:112
A more convenient string class.
Definition: String.h:59
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
std::vector< Element > Elements
Definition: QTCluster.h:132
double max_diff_rt_
Maximum RT difference.
Definition: QTClusterFinder.h:131
Representation of a feature in a hash grid.
Definition: GridFeature.h:52
OpenMSBoost::unordered_map< const OpenMS::GridFeature *, std::unordered_set< Size > > ElementMapping
Map to store which grid features are next to which clusters (saves the clusters ids)
Definition: QTClusterFinder.h:116
A variant of QT clustering for the detection of feature groups.
Definition: QTClusterFinder.h:104
Mass-to-charge dimension id (1 if used as a const int)
Definition: Peak2D.h:76
HashGrid< OpenMS::GridFeature * > Grid
Definition: QTClusterFinder.h:121
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
Container for (2-dimensional coordinate, value) pairs.
Definition: HashGrid.h:62
std::unordered_set< const OpenMS::GridFeature * > already_used_
Set of features already used.
Definition: QTClusterFinder.h:143
A representation of a QT cluster used for feature grouping.
Definition: QTCluster.h:110
A consensus feature spanning multiple LC-MS/MS experiments.
Definition: ConsensusFeature.h:69
static BaseGroupFinder * create()
Returns an instance of this class.
Definition: QTClusterFinder.h:292
A functor class for the calculation of distances between features or consensus features.
Definition: FeatureDistance.h:89
Size num_maps_
Number of input maps.
Definition: QTClusterFinder.h:125
double max_diff_mz_
Maximum m/z difference.
Definition: QTClusterFinder.h:134
boost::heap::fibonacci_heap< QTCluster > Heap
Heap to efficiently find the best clusters.
Definition: QTClusterFinder.h:119
A container for consensus elements.
Definition: ConsensusMap.h:80
FeatureDistance feature_distance_
Feature distance functor.
Definition: QTClusterFinder.h:140
bool use_IDs_
Consider peptide identifications for grouping?
Definition: QTClusterFinder.h:128
Retention time dimension id (0 if used as a const int)
Definition: Peak2D.h:75
The base class of all element group finding algorithms.
Definition: BaseGroupFinder.h:61
static const String getProductName()
Returns the name of the product.
Definition: QTClusterFinder.h:266
int nr_partitions_
Maximum m/z difference.
Definition: QTClusterFinder.h:137