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

Tumor classification based on DNA copy number aberrations determined using SNP arrays.

Oncology reports - 1 Jan 2006

Wang Yuhang, Makedon Fillia, Pearlman Justin

Abstract excerpt

High-density single nucleotide polymorphism (SNP) array is a recently introduced technology that genotypes more than 10,000 human SNPs on a single array. It has been shown that SNP arrays can be used to determine not only SNP genotype calls, but also DNA copy number (DCN) aberrations, which are common in solid tumors. In the past, effective cancer classification has been demonstrated using microarray gene...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Chromosome Aberrations
Share to DNA, Neoplasm

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Dosage

Share to Genotype

Share to Neoplasms

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 16525700
DOI: 10.3892/or.15.4.1057

Genes

DCN

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Tumor classification based on DNA copy number aberrations determined using SNP arrays.PMID 16525700Read ↗

Integrated study of copy number states and genotype calls using high-density SNP arrays.Semantic proximity Read ↗

Cancer classification using loss of heterozygosity data derived from single-nucleotide polymorphism genotyping arrays.Semantic proximity Read ↗

CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.Semantic proximity Read ↗

Breast cancer prediction using genome wide single nucleotide polymorphism data.Semantic proximity Read ↗

Integrated analysis of copy number and loss of heterozygosity in primary breast carcinomas using high-density SNP array.Semantic proximity Read ↗

Single nucleotide polymorphism microarray analysis of genetic alterations in cancer.Semantic proximity Read ↗

Genome-wide, high-resolution detection of copy number, loss of heterozygosity, and genotypes from formalin-fixed, paraffin-embedded tumor tissue using microarrays.Semantic proximity Read ↗

Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.Semantic proximity Read ↗

A Comparison of Tools That Identify Tumor Cells by Inferring Copy Number Variations from Single-Cell Experiments in Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

Whole genome SNP arrays as a potential diagnostic tool for the detection of characteristic chromosomal aberrations in renal epithelial tumors.Semantic proximity Read ↗

CaSNP: a database for interrogating copy number alterations of cancer genome from SNP array data.Semantic proximity Read ↗

Classification of cancers based on copy number variation landscapes.Semantic proximity Read ↗

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