Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

SEURAT: visual analytics for the integrated analysis of microarray data.

BMC medical genomics - 3 Jun 2010

Gribov Alexander, Sill Martin, Lück Sonja, Rücker Frank, Döhner Konstanze, Bullinger Lars, Benner Axel, Unwin Antony

Abstract excerpt

BACKGROUND: In translational cancer research, gene expression data is collected together with clinical data and genomic data arising from other chip based high throughput technologies. Software tools for the joint analysis of such high dimensional data sets together with clinical data are required. RESULTS: We have developed an open source software tool which provides interactive visualization capability for the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Comparative Genomic Hybridization

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computer Graphics

Share to Gene Expression Profiling

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 20525257
DOI: 10.1186/1755-8794-3-21
PMCID: PMC2893446

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

SEURAT: visual analytics for the integrated analysis of microarray data.PMID 20525257Read ↗

HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics.Semantic proximity Read ↗

NeuroVar: An Open-source Tool for Gene Expression and Variation Data Visualization for Biomarkers of Neurological DiseasesSemantic proximity Read ↗

REVEAL--visual eQTL analytics.Semantic proximity Read ↗

SCNT: An R Package for Data Analysis and Visualization of Single-Cell and Spatial TranscriptomicsSemantic proximity Read ↗

GAC: Gene Associations with Clinical, a web based applicationSemantic proximity Read ↗

iHAT: interactive hierarchical aggregation table for genetic association data.Semantic proximity Read ↗

A novel visual analysis interface enables integrative analyses of cancer transcriptomics data and iden-tifies potential markers of immunotherapy response via machine learning.Semantic proximity Read ↗

Analysis, identification and visualization of subgroups in genomics.Semantic proximity Read ↗

EGIDExpress: An Interactive Shiny Web App to Visualize and Share Large Biological DatasetsSemantic proximity Read ↗

SCelVis: Powerful explorative single cell data analysis on the desktop and in the cloudSemantic proximity Read ↗

GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortalSemantic proximity Read ↗

GRACOMICS: software for graphical comparison of multiple results with omics data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.