Article

clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancers

2018-06-11

Abstract excerpt

Measuring gene expression of genomically defined tumour clones at single cell resolution would associate functional consequences to somatic alterations, as a prelude to elucidating pathways driving cell population growth, resistance and relapse. In the absence of scalable methods to simultaneously assay DNA and RNA from the same single cell, independent sampling of cell populations for parallel measurement of sing...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a9daeebd-ca06-55c4-b35f-df688921fb72
DOI: 10.1101/344309

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancersDOI 10.1101/344309Read

Allele-specific transcriptional effects of subclonal copy number alterations enable genotype-phenotype mapping in cancer cells.Semantic proximity Read

Exploiting allele-specific transcriptional effects of subclonal copy number alterations for genotype-phenotype mapping in cancer cell populationsSemantic proximity Read

Mapping single-cell transcriptomes to copy number evolutionary treesSemantic proximity Read

Inferring Phenotypes of Copy Number Clones in Cancer Populations Using TreeAlign.Semantic proximity Read

Fitness and transcriptional plasticity of human breast cancer single-cell-derived clonesSemantic proximity Read

scTransMIL Bridges Patient-Level Phenotypes and Single-Cell Transcriptomics for Cancer Screening and Heterogeneity InferenceSemantic proximity Read

scOPE identifies which driver-associated expression programs transfer from bulk tumors to single cellsSemantic proximity Read

SigBridgeR: An Integrative Framework and Toolkit for Comprehensive Screening and Benchmarking of Phenotype-Associated Cell Subpopulations in Single-Cell TranscriptomicsSemantic proximity Read

Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analysesSemantic proximity Read

Tumor genetic analysis from single-cell RNA-seq data.Semantic proximity Read

Tumor cell total mRNA expression shapes the molecular and clinical phenotype of cancerSemantic proximity Read

Tumor cell total mRNA expression shapes the molecular and clinical phenotype of cancerSemantic proximity Read