def update_select_cluster_de_2(tumor, res):
return (
[{'label': 'All', 'value': 'all'}] + [
{'label': 'Cluster {}'.format(clust), 'value': clust}
for clust in sorted([int(x) for x in set(load_data.load_tumor_clusters(tumor, res))])
],
'all'
)
def build_layout():
layout = dcc.Tab(
label='Cluster Markers',
children=[
dbc.Row(html.Hr(), style={'height': '3%'}),
html.Div([
'Compare differentially expressed genes between tumor sub-clusters of cells.'
]),
dbc.Row(html.Hr(), style={'height': '3%'}),
dbc.Row([
dbc.Col([
dbc.CardHeader("Table 1",
style={
"background-color": "#e3e3e3",
"font-weight": "bold",
"font-size": "Large",
"text-align": "center"
}),
dbc.CardBody([
html.Div([
dbc.Row(children=[
dbc.Col([html.H6("Select a tumor:")],
width=100,
style={"width": "40%"}),
dbc.Col([
common.build_tumor_dropdown(
'select-tumor-de-1')
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col(
[html.H6("Select cluster resolution:")],
width=100,
style={"width": "40%"}),
dbc.Col([
common.build_cluster_res_dropdown(
'select-cluster-res-de-1')
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col([html.H6("Select a cluster:")],
width=100,
style={"width": "40%"}),
dbc.Col([
dcc.Dropdown(options=[{
'label':
'Cluster {}'.format(clust),
'value':
clust
} for clust in sorted(
set(
load_data.load_tumor_clusters(
DEFAULT_TUMOR_1, 1)))],
id='select-cluster-de-1',
value='0')
])
])
]),
dbc.Row(html.Hr(), style={'height': '0.5%'}),
DataTable(
columns=[{
"id": "de-genes-col-1",
"name": "DE Genes"
}, {
"id": "de-lfc-col-1",
"name": "log-FC"
}, {
"id": "de-alfc-col-1",
"name": "Abs. log-FC"
}, {
"id": "de-sig-col-1",
"name": "Significance Rank"
}],
data=build_table_data("1", "PJ025", "0",
1), # TODO add resolution
style_cell_conditional=[{
'textAlign': 'center'
}],
id='de-table-1',
filter_action="native",
sort_action="native",
page_size=PAGE_SIZE,
export_format='csv',
export_headers='display')
])
]),
dbc.Col([], width=100, style={"width": "15px"}),
dbc.Col([
dbc.CardHeader("Table 2",
style={
"background-color": "#e3e3e3",
"font-weight": "bold",
"font-size": "Large",
"text-align": "center"
}),
dbc.CardBody([
html.Div([
dbc.Row(children=[
dbc.Col([html.H6("Select a tumor:")],
width=100,
style={"width": "40%"}),
dbc.Col([
common.build_tumor_dropdown(
'select-tumor-de-2')
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col(
[html.H6("Select cluster resolution:")],
width=100,
style={"width": "40%"}),
dbc.Col([
common.build_cluster_res_dropdown(
'select-cluster-res-de-2')
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col([html.H6("Select a cluster:")],
width=100,
style={"width": "40%"}),
dbc.Col([
dcc.Dropdown(options=[{
'label':
'Cluster {}'.format(clust),
'value':
clust
} for clust in sorted(
set(
load_data.load_tumor_clusters(
DEFAULT_TUMOR_1, 1)))],
id='select-cluster-de-2',
value='0')
])
])
]),
dbc.Row(html.Hr(), style={'height': '0.5%'}),
DataTable(
columns=[{
"id": "de-genes-col-2",
"name": "DE Genes"
}, {
"id": "de-lfc-col-2",
"name": "log-FC"
}, {
"id": "de-alfc-col-2",
"name": "Abs. log-FC"
}, {
"id": "de-sig-col-2",
"name": "Significance Rank"
}],
data=build_table_data("1", "PJ025", "0",
1), # TODO add resolution
style_cell_conditional=[{
'textAlign': 'center'
}],
id='de-table-2',
filter_action="native",
sort_action="native",
page_size=PAGE_SIZE,
export_format='csv',
export_headers='display')
])
])
])
])
return layout
def _build_control_panel(plot_num):
return [
dbc.Row([
dbc.Col([], width=100, style={"width": "15px"}),
dbc.Col([
html.Div([
dbc.Row(children=[
dbc.Col([
html.H6("Select a tumor to visualize:")
], width=100, style={"width": "40%"}),
dbc.Col([
common.build_tumor_dropdown('select-tumor-dist-{}'.format(plot_num))
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col([
html.H6("Select cluster resolution:")
], width=100, style={"width": "40%"}),
dbc.Col([
common.build_cluster_res_dropdown('select-cluster-res-dist-{}'.format(plot_num))
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col([
html.H6("Select a cluster:")
], width=100, style={"width": "40%"}),
dbc.Col([
dcc.Dropdown(
options=[{'label': 'All', 'value': 'all'}] + [
{'label': 'Cluster {}'.format(clust), 'value': clust}
for clust in sorted([int(x) for x in set(load_data.load_tumor_clusters(DEFAULT_TUMOR_1, DEFAULT_RES))])
],
#style={"width": '60%'},
id='select-cluster-dist-{}'.format(plot_num),
value='0'
)
])
])
]),
html.Div([
dbc.Row(children=[
dbc.Col([
html.H6("Enter gene: ")
], width=100, style={"width": "40%"}),
dbc.Col([
html.Div([
#dcc.Input(id='color-by-feature-dist-{}'.format(plot_num), value=DEFAULT_GENE)
dcc.Dropdown(
options=[
{'label': gene, 'value': gene}
for gene in load_data.load_genes_sorted(DEFAULT_TUMOR_1)
],
id='color-by-feature-dist-{}'.format(plot_num)
)
], id='color-by-feature-container-dist-{}'.format(plot_num))
])
])
])
])
])
]
def update_select_cluster_de_2(tumor, res):
return ([{
'label': 'Cluster {}'.format(clust),
'value': clust
} for clust in sorted(set(load_data.load_tumor_clusters(tumor, res)))],
'0')