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

A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors.

Bioinformatics (Oxford, England) - 15 Jun 2005

Levin Albert M, Ghosh Debashis, Cho Kathleen R, Kardia Sharon L R

Abstract excerpt

MOTIVATION: The analysis of gene expression data in its chromosomal context has been a recent development in cancer research. However, currently available methods fail to account for variation in the distance between genes, gene density and genomic features (e.g. GC content) in identifying increased or decreased chromosomal regions of gene expression. RESULTS: We have developed a model-based scan statistic that...

Read the complete abstract on PubMed

Topics

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

Share to Base Composition
Share to Biomarkers, Tumor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chromosomes, Human, Pair 17

Share to Computer Simulation

Share to Genome, Human

Share to Models, Statistical

Share to Neoplasm Proteins

Share to Neoplasms

Source

Identifiers

PMID: 15814559
DOI: 10.1093/bioinformatics/bti417

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors.PMID 15814559Read ↗

Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumorsSemantic proximity Read ↗

Analysis of array CGH data: from signal ratio to gain and loss of DNA regions.Semantic proximity Read ↗

GeneBreak: detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genesSemantic proximity Read ↗

A genomic random interval model for statistical analysis of genomic lesion data.Semantic proximity Read ↗

Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival.Semantic proximity Read ↗

Mapping of DNA amplifications at 15 chromosomal localizations in 1875 breast tumors: definition of phenotypic groups.Semantic proximity Read ↗

Analysis of array CGH data for cancer studies using fused quantile regression.Semantic proximity Read ↗

Gene set enrichment analysis using linear models and diagnostics.Semantic proximity Read ↗

Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival.Semantic proximity Read ↗

Allele-specific amplification in cancer revealed by SNP array analysis.Semantic proximity Read ↗

Novel clusters of highly expressed genes accompany genomic amplification in breast cancers.Semantic proximity Read ↗

CINmetrics: An R package for chromosomal instability analysisSemantic proximity Read ↗

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