相关实验视频

Updated: May 7, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.0K

一项关于识别癌症中明显扰乱子网络的方法的综合性基准研究

Le Yang1, Runpu Chen1, Steve Goodison2

  • 1Department of Microbiology and Immunology, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, New York, NY 14203, United States.

Briefings in bioinformatics
|December 31, 2024
PubMed
概括

这项研究对基于网络的癌症路径识别方法进行了基准测试. 它揭示了算法性能洞察力,并指导用户选择最佳方法和蛋白质-蛋白质相互作用网络.

关键词:
基准研究是指基准研究.癌症途径的癌症途径卡纳司机基因识别 基因识别被扰乱的子网络蛋白质蛋白质相互作用

更多相关视频

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.5K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

8.8K

相关概念视频

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K