Back to search

Article

Machine learning revealed inflammatory features and a novel risk score-based classification with appealing implications in discriminating the prognosis, immunotherapy and chemotherapy

2022-12-21

Abstract excerpt

Breast cancer is the most common and ranks the second cause of related cancer-related death in women. However, the relationship between inflammation-related gene signatures and the prognosis of breast cancer remains elusive. We constructed inflammation related gene features to evaluate the prognosis, immunotherapy, inflammatory response and chemotherapy of breast cancer patients, including 4073 breast cancer patie...

Topics

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

Identifiers and source

Literature Corpus work
930b0efd-9d6e-5516-a308-fd10aec6994e
DOI
10.21203/rs.3.rs-2395472/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.
Machine learning revealed inflammatory features and a novel risk score-based classification with appealing implications in discriminating the prognosis, immunotherapy and chemotherapyDOI 10.21203/rs.3.rs-2395472/v1
Select a neighboring publication to make it the new centre.