Back to search

Article

DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction

2020-02-28

Abstract excerpt

<title>Abstract</title> <p>Background: Human leukocyte antigen (HLA) complex molecules play an essential role in immune interactions by presenting peptides on the cell surface to T cells. With significant progress in deep learning, a series of neural network based models have been proposed and demonstrated with their good performances for peptide-HLA class I binding prediction. However, there still lack effective...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4ce14ad3-8252-5bb9-a724-706630837ac6
DOI
10.21203/rs.2.24881/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding predictionDOI 10.21203/rs.2.24881/v1
Select a neighboring publication to make it the new centre.