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

PyClone: statistical inference of clonal population structure in cancer.

Nature methods - 1 Apr 2014

Roth Andrew, Khattra Jaswinder, Yap Damian, Wan Adrian, Laks Emma, Biele Justina, Ha Gavin, Aparicio Samuel, Bouchard-Côté Alexandre, Shah Sohrab P

Abstract excerpt

We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cluster Analysis

Share to Gene Expression Regulation, Neoplastic

Share to Models, Statistical

Share to Neoplasms

Share to Reproducibility of Results

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 24633410
DOI: 10.1038/nmeth.2883
PMCID: PMC4864026

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PyClone: statistical inference of clonal population structure in cancer.PMID 24633410Read ↗

PhyClone: accurate Bayesian reconstruction of cancer phylogenies from bulk sequencing.Semantic proximity Read ↗

PhyClone: Accurate Bayesian reconstruction of cancer phylogenies from bulk sequencingSemantic proximity Read ↗

MuClone: Somatic mutation detection and classification through probabilistic integration of clonal population structureSemantic proximity Read ↗

PyClone-VI: scalable inference of clonal population structures using whole genome data.Semantic proximity Read ↗

ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data.Semantic proximity Read ↗

MixClone: a mixture model for inferring tumor subclonal populations.Semantic proximity Read ↗

Clonal assessment of functional mutations in cancer based on a genotype-aware method for clonal reconstructionSemantic proximity Read ↗

QuantumClone: clonal assessment of functional mutations in cancer based on a genotype-aware method for clonal reconstruction.Semantic proximity Read ↗

Inferring structural variant cancer cell fractionSemantic proximity Read ↗

PHALCON: phylogeny-aware variant calling from large-scale single-cell panel sequencing datasetsSemantic proximity Read ↗

SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution.Semantic proximity Read ↗

BnpC: Bayesian non-parametric clustering of single-cell mutation profiles.Semantic proximity Read ↗

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