Bio Volcano Plot - Plotly Py

VolcanoPlot

Volcano Plot interactively identifies clinically meaningful markers in genomic experiments, i.e., markers that are statistically significant and have an effect size greater than some threshold. Specifically, volcano plots depict the negative log-base-10 p-values plotted against their effect size.

python

import pandas as pd
import dash_bio


df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/volcano_data1.csv')

dash_bio.VolcanoPlot(
    dataframe=df,
)

Point Sizes And Line Widths

Change the size of the points on the scatter plot, and the widths of the effect lines and genome-wide line.

python

import pandas as pd
import dash_bio


df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/volcano_data1.csv')

dash_bio.VolcanoPlot(
    dataframe=df,
    point_size=10,
    effect_size_line_width=4,
    genomewideline_width=2
)

VolcanoPlot with Dash

python

from IPython.display import IFrame
snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
IFrame(snippet_url + 'bio-volcano', width='100%', height=1200)