Clustergrammer-Widget based interactive heatmap¶

  • Following interactive heatmap represents 590 DE proteins within different comparsions.
  • Under the Type heading, we have enlisted different comparsions name.
    • Type: Common_All: Represents common proteins between Crit_Vs_Neg, IgG+_Vs_Neg and PCR+_Vs_Neg comparsions.
    • Type: Exclusive_Crit_Vs_Neg: Represents exclusively associated with Crit_Vs_Neg comparison.
    • Type: Exclusive_PCR+_Vs_Neg: Represents exclusively associated with PCR+_Neg comparison.
    • Type: Common_Crit_Vs_Neg and IgG+_Vs_Neg: Represents common proteins between Crit_Vs_Neg and IgG+_Vs_Neg.
    • Type: Exclusive_IgG+_Vs_Neg: Represents exclusively associated with IgG+_Vs_Neg comparison.
    • Type: Common_IgG+_Vs_Neg and PCR+_Vs_Neg: Represents common proteins between IgG+_Vs_Neg and PCR+_Vs_Neg comparisons.

Reference¶

Fernandez, N. F. et al. Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data. Sci. Data 4:170151 doi:10.1038/sdata.2017.151 (2017)

In [7]:
import pandas as pd
from clustergrammer_widget import *
net = Network(clustergrammer_widget)
In [8]:
from clustergrammer2 import net
In [9]:
# load our data
net.load_file('ECFCs_Sig.tsv')
In [10]:
# check shape of data
net.dat['mat'].shape
Out[10]:
(590, 32)
In [11]:
net.cluster(views=[])
net.widget()