JDC

The software tool JDC (Jaccard Degree Centrality) introduces an approach for identifying essential proteins by leveraging protein-protein interaction (PPI) network and gene expression data. It employs a dynamic thresholding technique to binarize gene expression data, aiming to minimize the impact of fluctuations in gene expression profiles. By integrating the degree centrality and Jaccard similarity index, JDC calculates a unique score for each protein within the PPI network, referred to as the JDC score.

Topic

Gene expression;Protein expression;Microarray experiment;Protein interactions;RNA-Seq

Detail

  • Operation: Expression profile clustering;Gene expression profiling;Protein identification;Subcellular localisation prediction

  • Software interface: Command-line user interface

  • Language: MATLAB

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: Natural Science Foundation of Hunan Province of China, Hunan Provincial Science and Technology Program, Scientific Research Fund of Hunan Provincial Education Department, National Natural Science Foundation of China.

  • Input: -

  • Output: -

  • Contact: Qiu Xiao xiaoqiu@hunnu.edu.cn ,Jiahong Yang jiahong_yang@hunnu.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • A novel essential protein identification method based on PPI networks and gene expression data.
  • Zhong J, et al. A novel essential protein identification method based on PPI networks and gene expression data. A novel essential protein identification method based on PPI networks and gene expression data. 2021; 22:248. doi: 10.1186/s12859-021-04175-8
  • https://doi.org/10.1186/S12859-021-04175-8
  • PMID: 33985429
  • PMC: PMC8120700

Download and documentation

< Back to DB search