Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer’s Disease
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Publication:6567875
DOI10.1080/01621459.2023.2297467MaRDI QIDQ6567875
Hongyu Zhao, Jingfei Zhang, Chang Su
Publication date: 5 July 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
- Covariance regularization by thresholding
- Operator norm consistent estimation of large-dimensional sparse covariance matrices
- Sparse permutation invariant covariance estimation
- Covariance selection by thresholding the sample correlation matrix
- Regularized estimation of large covariance matrices
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix
- Decomposition Methods for Sparse Matrix Nearness Problems
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Generalized Thresholding of Large Covariance Matrices
- A General Framework for Weighted Gene Co-Expression Network Analysis
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