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infoggm's Introduction

Algorithm

info_incorporated GGM: Information-incorporated Gaussian Graphical Model

Maintainer

Huangdi Yi ([email protected])

Publication

Yi H, Zhang Q, Lin C, Ma S (2020). Information-incorporated Gaussian Graphical Model for Gene Expression Data. Manuscript.

Usage

  1. info_incorporatedGGM.R: main functions used in estimation of the Information-incorporated Gaussian Graphical Model

  2. networks.R: functions to generate Erdos-Renyi, scale-free, nearest-neighbor, and (positive and negative) banded network structures.

  3. main.R: an example under one simulation setting (p=100, n=300), containing

    • Generating the true precision matrix, the corresponding covariance matrix,
    • Generating the prior infomation
    • Estimation

Output

Four lists containing the estimation for each replicate under four different prior scenarios using the proposed info_incorporated GGM: Est.1, Est.2, Est.3, and Est.4.

Four lists containing the estimation for each replicate under four different prior scenarios using the infomation guided GGM (priorGGM, Jiang et al. (2016)): prior1, prior2, prior3, and prior4.

infoggm's People

Contributors

shuanggema avatar

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