Compressed spectral screening for large-scale differential correlation analysis with application in selecting glioblastoma gene modules (Q6138655)

scientific article; zbMATH DE number 7789437

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English	Compressed spectral screening for large-scale differential correlation analysis with application in selecting glioblastoma gene modules	scientific article; zbMATH DE number 7789437

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instance of

scholarly article

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title

Compressed spectral screening for large-scale differential correlation analysis with application in selecting glioblastoma gene modules (English)

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The Annals of Applied Statistics

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publication date

16 January 2024

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full work available at URL

https://arxiv.org/abs/2111.03721

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zbMATH Keywords

differential correlation analysis

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gene coexpression

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high-dimensional correlation matrices

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spectral methods

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MaRDI profile type

MaRDI publication profile

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cites work

Entrywise eigenvector analysis of random matrices with low expected rank

0 references

A spectral algorithm for latent Dirichlet allocation

0 references

Scale-Free Networks: A Decade and Beyond

0 references

Exact and Efficient Generation of Geometric Random Variates and Random Graphs

0 references

Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix

0 references

A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation

0 references

Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings

0 references

Computational and statistical boundaries for submatrix localization in a large noisy matrix

0 references

Inference for high-dimensional differential correlation matrices

0 references

Exact matrix completion via convex optimization

0 references

The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics

0 references

High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

0 references

Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering

0 references

Matrix estimation by universal singular value thresholding

0 references

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

0 references

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices

0 references

Inferring multiple graphical structures

0 references

BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data

0 references

The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes

0 references

Bootstrap methods: another look at the jackknife

0 references

Q3286850

0 references

Robust high-dimensional factor models with applications to statistical machine learning

0 references

An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation

0 references

Sparse inverse covariance estimation with the graphical lasso

0 references

Joint estimation of multiple graphical models

0 references

Removing technical variability in RNA-seq data using conditional quantile normalization

0 references

A spectral algorithm for learning hidden Markov models

0 references

Adjusting batch effects in microarray expression data using empirical Bayes methods

0 references

On Consistency and Sparsity for Principal Components Analysis in High Dimensions

0 references

Nonparametric Bayesian sparse factor models with application to gene expression modeling

0 references

Linear Regression and Its Inference on Noisy Network-Linked Data

0 references

Cross-Validation With Confidence

0 references

Consistency of spectral clustering in stochastic block models

0 references

Two sample tests for high-dimensional covariance matrices

0 references

An adaptively weighted statistic for detecting differential gene expression when combining multiple transcriptomic studies

0 references

Hierarchical Community Detection by Recursive Partitioning

0 references

Network cross-validation by edge sampling

0 references

Estimation of high-dimensional graphical models using regularized score matching

0 references

Sparse latent factor models with interactions: analysis of gene expression data

0 references

Stability Selection

0 references

Spectral clustering and the high-dimensional stochastic blockmodel

0 references

Numerical Methods for Large Eigenvalue Problems

0 references

Joint estimation of precision matrices in heterogeneous populations

0 references

A test for the equality of covariance matrices when the dimension is large relative to the sample sizes

0 references

Finding large average submatrices in high dimensional data

0 references

Detecting Differential Expressions in GeneChip Microarray Studies

0 references

Testing differential networks with applications to the detection of gene-gene interactions

0 references

Model free estimation of graphical model using gene expression data

0 references

Q4969155

0 references

Differential network analysis via lasso penalized D-trace loss

0 references

Q2896144

0 references

Network differential connectivity analysis

0 references

Direct estimation of differential networks

0 references

Testing high-dimensional covariance matrices, with application to detecting schizophrenia risk genes

0 references

Identifiers

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Mathematics Subject Classification ID

62Pxx

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zbMATH DE Number

7789437

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Mathematics(1 entry)

mardi Publication:6138655