数据科学| 蛋白向量分析

                                   Exploring protein vector embeddings

导入库

  

   

    

     

    
    

     

      import pandas as pd
     
    
   

    

     

    
    

     

      import numpy as np
     
    
   

    

     

    
    

     

      import matplotlib.pyplot as plt
     
    
   

    

     

    
    

     

      from sklearn import manifold
     
    
   

    

     

    
    

     

      from sklearn.metrics.pairwise import cosine_distances
     
    
   

    

     

    
    

     

      from sklearn.metrics.pairwise import euclidean_distances
     
    
   

    

     

    
    

     

      %matplotlib inline
     
    
  
 

载入数据

  

   

    

     

    
    

     

      gpcrs = pd.read_csv("GPCRs_vec.csv")
     
    
   

    

     

    
    

     

      ion_channels = pd.read_csv("ion_channels_vec.csv")
     
    
   

    

     

    
    

     

      kinases = pd.read_csv("kinases_vec.csv")
     
    
   

    

     

    
    

     

      nr = pd.read_csv("Nuclear_vec.csv")
     
    
  
 

  

   

    

     

    
    

     

      # 每个受体添加颜色
     
    
   

    

     

    
    

     

      gpcrs["class"] = np.full(len(gpcrs), '#784984')
     
    
   

    

     

    
    

     

      ion_channels["class"] = np.full(
     
    
  
 

文章来源: drugai.blog.csdn.net，作者：DrugAI，版权归原作者所有，如需转载，请联系作者。

原文链接：drugai.blog.csdn.net/article/details/102478559