Small style changes

src/analysis/AnalysisClustering.h

@@ -25,10 +25,10 @@ class AnalysisClustering : public QWidget
     explicit AnalysisClustering(QWidget *parent = nullptr, Qt::WindowFlags f = 0);
     virtual ~AnalysisClustering();
 
-    // One color (color representation of cluster number) for each spot
+    // One color (integer value) for each spot
     const QVector<QPair<QString,int>> &getSpotClusters() const;
 
-    // List of spots for each cluster
+    // List of spots for each cluster (integer value)
     QMultiHash<int, QString> getClustersSpot() const;
 
     // assigns the dataset
@@ -51,7 +51,7 @@ public slots:
 private slots:
 
     // Performs a dimensionality reduction (t-SNE or PCA) on the data matrix and then
-    // clusters the reduced coordinates (2D) using KMeans so to compute classes/colors
+    // cluster the reduced coordinates (2D) using KMeans so to compute classes/colors
     // for each spot
     void slotRun();
 

src/analysis/AnalysisCorrelation.h

@@ -12,8 +12,8 @@ class analysisCorrelation;
 
 QT_CHARTS_USE_NAMESPACE
 
-// This Widget takes two datasets (selections)
-// and computes correlation value for the common genes
+// This Widget takes two datasets
+// and computes a correlation value for the common genes
 // it allows to normalize using the log scale and also to click and
 // show the clicked gene
 class AnalysisCorrelation : public QWidget

src/analysis/AnalysisDEA.h

@@ -16,7 +16,7 @@ class analysisDEA;
 }
 
 // AnalysisDEA is a widget that contains methods to compute
-// DEA(Differential Expression Analysis) between two ST data selections
+// DEA(Differential Expression Analysis) between two ST datasets
 // It shows the results in a volcano plot and a table
 // that highlights the differently expressed genes at a given threshold
 class AnalysisDEA : public QWidget