Seminar "Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches"
A workshop of the laboratory was held.
![Seminar "Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches"](/data/2022/11/28/1475176331/1pietro-jeng-n6B49lTx7NM-unsplash.jpg "Seminar "Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches"")
On the 1st of October the online seminar "Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches" was held by research assistant from AIC Lab Polina Kudryavtseva.
Polina gave a brief talk about deep convolutional neural network that increases the number of spectrum annotations in database-searching-based systems. The developed model is stable and fast to train and it slightly outperforms the current state-of-the-art methods. Participants discussed the architecture of the model, methods for evaluating it, and the results achieved on low and high resolution datasets. This work was published in the Journal of Proteome Research in 2021.
The video is avaliable here.
