Back to search

Article

Integration of bioinformatics and machine learning strategies identifies APM-related gene signatures to predict clinical outcomes and therapeutic responses for breast cancer patients

2022-12-09

Abstract excerpt

<title>Abstract</title> <p>Background: Tumor antigenicity and efficiency of antigen presentation jointly influence tumor immunogenicity, which largely determines the effectiveness of immune checkpoint blockade (ICB). However, the role of altered antigen processing and presentation machinery (APM) in breast cancer (BRCA) has not been fully elucidated. <h4>Methods:</h4> A series of bioinformatic analyses and machin...

Topics

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

Identifiers and source

Literature Corpus work
48fbe075-888d-58cf-b646-d83b23fd844a
DOI
10.21203/rs.3.rs-2350621/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.
Integration of bioinformatics and machine learning strategies identifies APM-related gene signatures to predict clinical outcomes and therapeutic responses for breast cancer patientsDOI 10.21203/rs.3.rs-2350621/v1
Select a neighboring publication to make it the new centre.