Analysis of a single cell RNA-seq workflow by random matrix theory methods

DOI10.1007/S11538-024-01376-ZMaRDI QIDQ6655094

Sivan Leviyang

Publication date: 20 December 2024

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

zbMATH Keywords

random matrix theorysingle cellRNA-seqclusterin

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX)

Cites Work

• The singular values and vectors of low rank perturbations of large rectangular random matrices
• On the distribution of the largest eigenvalue in principal components analysis
• Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
• On the principal components of sample covariance matrices
• Efficient computation of limit spectra of sample covariance matrices
• DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
• A General Framework for Weighted Gene Co-Expression Network Analysis

This page was built for publication: Analysis of a single cell RNA-seq workflow by random matrix theory methods

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6655094)