ivango17 commited on
Commit
38f0a6e
·
1 Parent(s): 92d794f

fixed JASPAR umaps

Browse files
Files changed (2) hide show
  1. app.py +1 -1
  2. plotting.py +2 -0
app.py CHANGED
@@ -738,7 +738,7 @@ with ui.nav_panel("scanpy Results"):
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  subset_choices = { "RNA_Hallmark" : ["None", 'PROTEIN_SECRETION', 'MYC_TARGETS_V1', 'ESTROGEN_RESPONSE_EARLY', 'ANDROGEN_RESPONSE', 'E2F_TARGETS', 'ESTROGEN_RESPONSE_LATE', 'REACTIVE_OXYGEN_SPECIES_PATHWAY', 'hallmark_HALLMARK_APICAL_SURFACE'],
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  "ATAC_Hallmark" : ["None", "Estrogen Response Early", "Estrogen Response Late", "Hedgehog Signaling", "Notch Signaling", "Coagulation", "Androgen Response"],
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  "ATAC_Cistrome" : ["None", 'MED12 41516'] if user_choice_dataset == 'MCF7' else ["None", 'NR3C1 68849'],
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- "ATAC_JASPAR" : ["None", 'Npas4', 'Atf1', 'E2F3', 'HOXA9', 'OVOL2']}
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  ui.update_select("group_selection",
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  label = "Group Subset",
 
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  subset_choices = { "RNA_Hallmark" : ["None", 'PROTEIN_SECRETION', 'MYC_TARGETS_V1', 'ESTROGEN_RESPONSE_EARLY', 'ANDROGEN_RESPONSE', 'E2F_TARGETS', 'ESTROGEN_RESPONSE_LATE', 'REACTIVE_OXYGEN_SPECIES_PATHWAY', 'hallmark_HALLMARK_APICAL_SURFACE'],
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  "ATAC_Hallmark" : ["None", "Estrogen Response Early", "Estrogen Response Late", "Hedgehog Signaling", "Notch Signaling", "Coagulation", "Androgen Response"],
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  "ATAC_Cistrome" : ["None", 'MED12 41516'] if user_choice_dataset == 'MCF7' else ["None", 'NR3C1 68849'],
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+ "ATAC_JASPAR" : ["None", 'POU2F3 - MA0627.3', 'ESR1 - MA0112.4', 'OTX2 - MA0712.3']}
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  ui.update_select("group_selection",
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  label = "Group Subset",
plotting.py CHANGED
@@ -199,6 +199,8 @@ def plot_umap(umap_dict, modality, dataset, grouping, label, subset):
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  subset_features = "Most Variable Features"
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  elif grouping == 'Hallmark':
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  subset_features = grouping.lower() + '_HALLMARK_' + subset.replace(" ", "_").upper()
 
 
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  else:
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  subset_features = grouping.lower() + "_" + subset.replace(" ", "_")
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  subset_features = "Most Variable Features"
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  elif grouping == 'Hallmark':
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  subset_features = grouping.lower() + '_HALLMARK_' + subset.replace(" ", "_").upper()
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+ elif grouping == 'JASPAR':
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+ subset_features = 'motifs_' + subset
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  else:
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  subset_features = grouping.lower() + "_" + subset.replace(" ", "_")
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