Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Aug 3;13:1244578. doi: 10.3389/fonc.2023.1244578

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2023 Chi, Chen, Wang, Zhang, Jiang, Zhang, Jiang, Huang, Quan, Liu, Zhang and Yang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Subtype classification based on PCRSMs. (A) Heatmap representing the consensus matrix for K=2, illustrating the clustering patterns. (B) Cumulative distribution function of the consensus values for K=2-9, providing insights into the optimal number of subtypes. (C) Evaluation of the relative change in the area under the curve (AUC) of the cumulative distribution function. (D) Final classification results of the samples for K=2-9, indicating the assigned subtypes. (E) Principal Component Analysis (PCA) plot demonstrating the effective segregation of pancreatic cancer patients into two distinct subtypes using PCRSMs. (F) Box plots illustrating the differential expression patterns of the PCRSMs between the two identified subtypes. ***, p<0.001