Back to search

Article

Joint Learning Sample Similarity and Correlation Representation for Cancer Survival prediction

2022-09-06

Abstract excerpt

<h4>Background: </h4> As a highly aggressive disease, cancer has been becoming the leading death cause around the world. Accurate prediction of the survival expectancy for cancer patients is significant, which can help clinicians make appropriate therapeutic schemes. With the high-throughput sequencing technology becoming more and more cost-effective, integrating multi-type genome-wide data has been a promising me...

Topics

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

Identifiers and source

Literature Corpus work
6815e05b-852f-5df1-9638-6cefb24305e6
DOI
10.21203/rs.3.rs-1998502/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.
Joint Learning Sample Similarity and Correlation Representation for Cancer Survival predictionDOI 10.21203/rs.3.rs-1998502/v1
Select a neighboring publication to make it the new centre.