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

Joint analysis of single-cell and bulk tissue sequencing data to infer intratumor heterogeneity.

Biometrics - 1 Sept 2020

Sun Wei, Jin Chong, Gelfond Jonathan A, Chen Ming-Hui, Ibrahim Joseph G

Abstract excerpt

Many computational methods have been developed to discern intratumor heterogeneity (ITH) using DNA sequence data from bulk tumor samples. These methods share an assumption that two mutations arise from the same subclone if they have similar mutant allele-frequencies (MAFs), and thus it is difficult or impossible to distinguish two subclones with similar MAFs. Single-cell DNA sequencing (scDNA-seq) data can be...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Heterogeneity
Share to Mutation
Share to Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 31813161
DOI: 10.1111/biom.13198
PMCID: PMC7275921

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

Joint analysis of single-cell and bulk tissue sequencing data to infer intratumor heterogeneity.PMID 31813161Read ↗

Recent advances and current issues in single-cell sequencing of tumors.Semantic proximity Read ↗

Computational Methods for Characterizing Cancer Mutational HeterogeneitySemantic proximity Read ↗

Leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA-sequencing dataSemantic proximity Read ↗

SC-BIG: A Hierarchical Bayesian Model for Bulk-Informed Single Nucleotide Variant Calling in Single CellsSemantic proximity Read ↗

Reconstructing tumor clonal heterogeneity and evolutionary relationships based on tumor DNA sequencing data.Semantic proximity Read ↗

Using single-cell sequencing technology to detect circulating tumor cells in solid tumorsSemantic proximity Read ↗

CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data.Semantic proximity Read ↗

A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data.Semantic proximity Read ↗

Fast intratumor heterogeneity inference from single-cell sequencing data.Semantic proximity Read ↗

Assessing the Performance of Methods for Cell Clustering from Single-cell DNA Sequencing DataSemantic proximity Read ↗

Decoding Cancer Biology One Cell at a TimeSemantic proximity Read ↗

A novel Bayesian model for assessing intratumor heterogeneity of tumor infiltrating leukocytes with multi-region gene expression sequencingSemantic proximity Read ↗

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