Article

A new insight into underlying disease mechanism through semi-parametric latent differential network model

2018-08-26

Abstract excerpt

<h4>Background</h4> In genomic studies, to investigate how the structure of a genetic network differs between two experiment conditions is a very interesting but challenging problem, especially in high-dimensional setting. Existing literatures mostly focus on differential network modelling for continuous data. However, in real application, we may encounter discrete data or mixed data, which urges us to propose a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 84f3b725-7193-5f18-9493-93b7826110f0
DOI: 10.1101/397265

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A new insight into underlying disease mechanism through semi-parametric latent differential network modelDOI 10.1101/397265Read

Unravelling personalized dysfunctional gene network of complex diseases based on differential network model.Semantic proximity Read

JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics dataSemantic proximity Read

A network-based dynamic criterion for early warning signal discovery: Prediction and early diagnosis for lung adenocarcinomaSemantic proximity Read

Network control principles for identifying personalized driver genes in cancer.Semantic proximity Read

Benchmarking precision matrix estimation methods for differential co-expression network analysisSemantic proximity Read

Identifying Network Biomarkers of Cancer By Sample-Specific Differential NetworkSemantic proximity Read

Joint variable selection and network modeling for detecting eQTLs.Semantic proximity Read

A novel network control model for identifying personalized driver genes in cancer.Semantic proximity Read

Personalized characterization of diseases using sample-specific networksSemantic proximity Read

A powerful framework for differential co-expression analysis of general risk factorsSemantic proximity Read

Therapeutic targets of gastric cancer explored under endogenous network modeling of clinical dataSemantic proximity Read

Understanding Complex Systems through DifferentialCausal NetworksSemantic proximity Read