private void btnLoad_Click(object sender, EventArgs e) { var originalFile = string.Empty; try { originalFile = GetOriginFile(); } catch (Exception ex) { MessageBox.Show(this, ex.Message, "Error"); return; } HashSet <string> experimentals = new IdentifiedResultExperimentalReader().ReadFromFile(originalFile); List <string> sortedExperimentals = new List <string>(experimentals); sortedExperimentals.Sort(); if (sortedExperimentals.Count > 0) { pnlClassification.InitializeClassificationSet(sortedExperimentals); } }
private void btnLoad_Click(object sender, EventArgs e) { try { HashSet <string> experimentals = new IdentifiedResultExperimentalReader().ReadFromFile(dataFile.FullName); List <string> sortedExperimentals = new List <string>(experimentals); sortedExperimentals.Sort(); if (sortedExperimentals.Count > 0) { pnlClassification.InitializeClassificationSet(sortedExperimentals); } } catch (Exception ex) { MessageBox.Show(this, ex.Message, "Error"); } }
private void btnLoad_Click(object sender, EventArgs e) { try { this.originalFile.ValidateComponent(); } catch (Exception ex) { MessageBox.Show(this, ex.Message, "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); return; } List <string> sortedExperimentals = new IdentifiedResultExperimentalReader().ReadFromFile(GetOriginFile()).ToList(); sortedExperimentals.Sort(); if (sortedExperimentals.Count > 0) { datasetClassification.InitializeClassificationSet(sortedExperimentals, @"(.+)_\d+$"); rawPairClassification.InitializeClassificationSet(sortedExperimentals, @".+_(\d+)$"); } }