NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks

DOI10.1007/978-3-030-45257-5_11zbMath1500.92035OpenAlexW3019107540MaRDI QIDQ5040358

Rebecca Elyanow, Uthsav Chitra, Matthew A. Reyna, Benjamin J. Raphael

Publication date: 14 October 2022

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-45257-5_11

zbMATH Keywords

maximum likelihood estimationcancergene expressioninteraction networksnetwork anomaly

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08) Systems biology, networks (92C42)

Uses Software

• Cytoscape
• PathBLAST
• HotNet
• NetMix2
• NetSig

Cites Work

• Unnamed Item
• On combinatorial testing problems
• Searching for a trail of evidence in a maze
• Consistency of the MLE under mixture models
• Detection of an anomalous cluster in a network
• Adaptive multiscale detection of filamentary structures in a background of uniform random points
• A spatial scan statistic
• The Behavior of the P-Value When the Alternative Hypothesis is True
• Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic
• Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans
• Scan statistics

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