Skip to content

Biocomputing-Research-Group/Transformer-DIA

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Transformer-DIA

Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry

Installation

Dataset

Transformer-DIA usage

Step 0: Data Preparation

  • Split each dataset into train set, validation set, and test set
  • Annotate the spectra file with the corresponding label extracted from feature file
  • Create a new feature file

Step 1: Run de novo sequencing with a pre-trained model:

Step 2: Evaluate de novo sequencing results:

Step 3: Train a new model:

References:

  • Ebrahimi, Shiva, and Xuan Guo. "Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry." 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2023.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%