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Published February 21, 2024 | Version v5

PUTransGCN: identification of piRNA-disease associations based on attention encoding graph convolutional network and positive unlabelled learning

Authors/Creators

Description

Data for the paper: "PUTransGCN: identification of piRNA-disease associations based on attention encoding graph convolutional network and positive unlabelled learning". 

The folder contains:

  • Raw piRNA-disease association database, piRNA sequence information
  • Preprocessing data
  • Notebook and python code to regenerate result

Files

Files (891.5 MB)

Name Size
md5:8ee39f81fd29075e83793c3ff500e009
532.2 MB Download
md5:07b64683535da985d4819d990f6f4c2d
357.0 MB Download
md5:e3108c09fee28291a88d2f330f093a5b
2.3 MB Download