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