An example of a default VolcanoPlot component without any extra properties.
library(dash)
library(dashBio)
library(dashHtmlComponents)
library(dashCoreComponents)
app <- Dash$new()
df <- read.csv(
file ='https://git.io/volcano_data1.csv',
stringsAsFactors = FALSE
)
app$layout(
htmlDiv(
list(
'Effect sizes',
dccRangeSlider(
id = 'default-volcanoplot-input',
min = -3,
max = 3,
step = 0.05,
marks = setNames(
lapply(-3:3,
function(i){
list(label = as.character(i))
}),
-3:3
),
value = c(-0.5, 1)
),
htmlBr(),
htmlDiv(
dccGraph(
id = 'dashbio-default-volcanoplot',
figure = dashbioVolcano(
dataframe = df
)
)
)
)
)
)
app$callback(
output = list(id = 'dashbio-default-volcanoplot', property = 'figure'),
params = list(input(id = 'default-volcanoplot-input', property = 'value')),
function(effects) {
dashbioVolcano(
dataframe = df,
genomewideline_value = 2.5,
effect_size_line = unlist(effects)
)
}
)
app$run_server()
Choose the colors of the scatter plot points, the highlighted points, the genome-wide line, and the effect size lines.
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
import pandas as pd
from dash import dcc
import dash_bio as dashbio
df = pd.read_csv('https://git.io/volcano_data1.csv')
volcanoplot = dashbio.VolcanoPlot(
dataframe=df,
effect_size_line_color='#AB63FA',
genomewideline_color='#EF553B',
highlight_color='#119DFF',
col='#2A3F5F'
)
dcc.Graph(figure=volcanoplot)
Change the size of the points on the scatter plot, and the widths of the effect lines and genome-wide line.
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
import pandas as pd
from dash import dcc
import dash_bio as dashbio
df = pd.read_csv('https://git.io/volcano_data1.csv')
volcanoplot = dashbio.VolcanoPlot(
dataframe=df,
point_size=10,
effect_size_line_width=4,
genomewideline_width=2
)
dcc.Graph(figure=volcanoplot)
dash_bio.VolcanoPlot
is a Python-based component,
and may not be available in other languages.