Article

Novel network approaches for the interrogation of large data sets with relevance to schizophrenia

2013-01-01

Abstract excerpt

Complex networks are an important tool for the study of biological data. There are two main aims in this data-driven work, which are explored in tandem. We study (1) the nature of schizophrenia and (2) utility in novel additions to traditional network based spectral clustering methods. More specifcally, we explore three facets of schizophrenia. First, we study functional brain data in animal models of relevance to...

Topics

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

Identifiers and source

Literature Corpus work: 0d8e6c91-53f7-509e-bc98-2a31a6fa7173
DOI: 10.48730/vpj5-rc14

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Novel network approaches for the interrogation of large data sets with relevance to schizophreniaDOI 10.48730/vpj5-rc14Read

Multimodal Clustering Analysis of meta-analytically derived brain regions in Schizophrenia Spectrum DisordersSemantic proximity Read

A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.Semantic proximity Read

Networks of blood proteins in the neuroimmunology of schizophreniaSemantic proximity Read

Texture Similarity Network Uncover Schizophrenia Subtypes with Unique Molecular SignaturesSemantic proximity Read

Computational modelling of schizophrenia-associated alterations of ion-channel-encoding gene expression predicts a decrease in delta powerSemantic proximity Read

Functional Categorization of Disease Genes Based on Spectral Graph Theory and Integrated Biological Knowledge.Semantic proximity Read

Guiding and interpreting brain network classification with transcriptional dataSemantic proximity Read

Schizophrenia, variability, and the Anna Karenina principleSemantic proximity Read

Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method.Semantic proximity Read

Opposite effects of positive and negative symptoms on resting-state brain networks in schizophreniaSemantic proximity Read

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.Semantic proximity Read

Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis.Semantic proximity Read